Mark Smith's Analyst Perspectives

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hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/contactcenter" class="minimal-mobile-menu-link"><span>Contact Center</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/customerexperiencemanagement" class="minimal-mobile-menu-link"><span>Customer Experience Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/fieldservice" class="minimal-mobile-menu-link"><span>Field Service</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/intelligentselfservice" class="minimal-mobile-menu-link"><span>Intelligent Self-Service</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/voiceofthecustomer" class="minimal-mobile-menu-link"><span>Voice of the Customer</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/digitalbusiness" class="minimal-mobile-menu-link"><span>Digital Business</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digital-applications" class="minimal-mobile-menu-link"><span>Digital Applications</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digitalcommunications" class="minimal-mobile-menu-link"><span>Digital Communications</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digital-intelligence" class="minimal-mobile-menu-link"><span>Digital Intelligence</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digital-operations" class="minimal-mobile-menu-link"><span>Digital Operations</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/experiencemanagement" class="minimal-mobile-menu-link"><span>Experience Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/generative-ai" class="minimal-mobile-menu-link"><span>Generative AI</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/performancemanagement" class="minimal-mobile-menu-link"><span>Performance Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/sustainabilityandesg" class="minimal-mobile-menu-link"><span>Sustainability & ESG</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/workmanagement" class="minimal-mobile-menu-link"><span>Work Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/digitaltechnology" class="minimal-mobile-menu-link"><span>Digital Technology</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/businesscontinuity" class="minimal-mobile-menu-link"><span>Business Continuity</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/cloudcomputing" class="minimal-mobile-menu-link"><span>Cloud Computing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/devops" class="minimal-mobile-menu-link"><span>DevOps and Platforms</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/digitalsecurity" class="minimal-mobile-menu-link"><span>Digital Security</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/intelligentautomation" class="minimal-mobile-menu-link"><span>Intelligent Automation</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/internetofthings" class="minimal-mobile-menu-link"><span>IoT and Edge Computing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/itops" class="minimal-mobile-menu-link"><span>ITOps</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/it-service-management" class="minimal-mobile-menu-link"><span>IT Service Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/observability" class="minimal-mobile-menu-link"><span>Observability</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/humancapitalmanagement" class="minimal-mobile-menu-link"><span>Human Capital Management</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/employeeexperience" class="minimal-mobile-menu-link"><span>Employee Experience</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/learningmanagement" class="minimal-mobile-menu-link"><span>Learning Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/payrollmanagement" class="minimal-mobile-menu-link"><span>Payroll Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/talentmanagement" class="minimal-mobile-menu-link"><span>Talent Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/totalcompensationmanagement" class="minimal-mobile-menu-link"><span>Total Compensation Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/workforcemanagement" class="minimal-mobile-menu-link"><span>Workforce Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/marketing" class="minimal-mobile-menu-link"><span>Marketing</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/customerdataplatforms" class="minimal-mobile-menu-link"><span>Customer Data Platforms</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/digitalexperienceplatforms" class="minimal-mobile-menu-link"><span>Digital Experience Platform</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/digitalmarketing" class="minimal-mobile-menu-link"><span>Digital Marketing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/intelligentmarketing" class="minimal-mobile-menu-link"><span>Intelligent Marketing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/marketingperformancemanagement" class="minimal-mobile-menu-link"><span>Marketing Performance Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/productexperiencemanagement" class="minimal-mobile-menu-link"><span>Product Experience Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/officeoffinance" class="minimal-mobile-menu-link"><span>Office of Finance</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/businessplanning" class="minimal-mobile-menu-link"><span>Business Planning</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/digitalfinance" class="minimal-mobile-menu-link"><span>Digital Finance</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/erpandcontinuousaccounting" class="minimal-mobile-menu-link"><span>ERP & Continuous Accounting</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/consolidate-and-close-management" class="minimal-mobile-menu-link"><span>Consolidate & Close Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/procure-to-pay" class="minimal-mobile-menu-link"><span>Procure-to-Pay</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/order-to-cash" class="minimal-mobile-menu-link"><span>Order-to-Cash</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/officeofrevenue" class="minimal-mobile-menu-link"><span>Office of Revenue</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/digitalcommerce" class="minimal-mobile-menu-link"><span>Digital Commerce</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/partnermanagement" class="minimal-mobile-menu-link"><span>Partner Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/revenuemanagement" class="minimal-mobile-menu-link"><span>Revenue Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/revenueperformancemanagement" class="minimal-mobile-menu-link"><span>Revenue Performance Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/salesengagement" class="minimal-mobile-menu-link"><span>Sales Engagement</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/subscriptionmanagement" class="minimal-mobile-menu-link"><span>Subscription Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/operationsandsupplychain" class="minimal-mobile-menu-link"><span>Operations & Supply Chain</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/continuousplanning" class="minimal-mobile-menu-link"><span>Continuous Planning</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/continuousupplychainanderp" class="minimal-mobile-menu-link"><span>Continuous Supply Chain & ERP</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/productinformationmanagement" class="minimal-mobile-menu-link"><span>Product Information Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/propertytechnology" class="minimal-mobile-menu-link"><span>Property Technology</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/supplierrelationshipmanagement" class="minimal-mobile-menu-link"><span>Supplier Relationship Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/sustainabilitymanagement" class="minimal-mobile-menu-link"><span>Sustainability Management</span></a></span> </li> </ul> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industries" class="minimal-mobile-menu-link"><span>Industries</span></a></span> <ul class="minimal-mobile-menu-submenu level-2"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/automotive" class="minimal-mobile-menu-link"><span>Automotive</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/banking" class="minimal-mobile-menu-link"><span>Banking</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/consumer-products" class="minimal-mobile-menu-link"><span>Consumer Products</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/financial-services" class="minimal-mobile-menu-link"><span>Financial Services</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/food-beverage" class="minimal-mobile-menu-link"><span>Food & Beverage</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/healthcare" class="minimal-mobile-menu-link"><span>Healthcare</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/hospitality" class="minimal-mobile-menu-link"><span>Hospitality</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/insurance" class="minimal-mobile-menu-link"><span>Insurance</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/manufacturing" class="minimal-mobile-menu-link"><span>Manufacturing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/media-entertainment" class="minimal-mobile-menu-link"><span>Media & Entertainment</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/real-estate" class="minimal-mobile-menu-link"><span>Real Estate</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/retail" class="minimal-mobile-menu-link"><span>Retail</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/research" class="minimal-mobile-menu-link"><span>Research</span></a></span> <ul class="minimal-mobile-menu-submenu level-2"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/research/market-agendas" class="minimal-mobile-menu-link"><span>Market Agendas</span></a></span> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://blog.ventanaresearch.com/" class="minimal-mobile-menu-link"><span>Analyst Perspectives</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://davidmenninger.ventanaresearch.com/" class="minimal-mobile-menu-link"><span>David Menninger</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://jefforr.ventanaresearch.com/" class="minimal-mobile-menu-link"><span>Jeff Orr</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://keithdawson.isg-research.net" class="minimal-mobile-menu-link"><span>Keith Dawson</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item 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We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.</p> <p><strong><a href="https://www.ventanaresearch.com/services/vendors/analyst_relations" rel="noopener">Analyst Relations</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/services/vendors/demand_generation" rel="noopener">Demand Generation</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/services/vendors/product-marketing" rel="noopener">Product Marketing</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/vendor-coverage" target="_self" role="menuitem">Market Coverage</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/briefing" target="_self" role="menuitem">Request a Briefing</a></strong><br><br><br></p></div> <span id="hs_cos_wrapper_dnd_area-module-2_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_simple_menu" style="" data-hs-cos-general-type="widget" data-hs-cos-type="simple_menu"><ul></ul></span> <div class="bottom_rich_text"> </div> </div> </div> </div> </div> </div> <script src="https://marksmith.isg-research.net/hs-fs/hub/2035844/hub_generated/template_assets/90531223305/1725882478811/Ventana_Research_2023/js/mmenu.min.js"></script> </div> </div> </div> </div> </div> </div> </div> </div> <div id="hs_cos_wrapper_Structured_data" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"></div> <div class="body-container-wrapper"> <div class="blog-header background-image post_page_2" data-bg-color="secondary" style=" background-size:cover; background-position:50%; background-repeat:no-repeat; background-image:url(https://marksmith.isg-research.net/hubfs/_images/_backgrounds_expertise/2024_VR_Digital_Business_Expertise_Image_AdobeStock_288623293_1200px.jpg); ">  <div class="row-fluid"> <div class="blog-header__inner dnd-row"> <div class="blog--post__image dnd-section"> <img class="analyst-header-photo" src="https://marksmith.isg-research.net/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png" style="padding: 10px; "> <br> <h1 class="analyst-header-title">Mark Smith's Analyst Perspectives</h1>  </div> </div> </div> </div> <div class="content-wrapper-listing blog-single"> <div class="blog-content-wrapper"> <div>  <a class="sdfdsf" href="https://marksmith.isg-research.net/author/isg-software-research">ISG Software Research</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2015/11/09/product-information-management-trumps-master-data-management">Product Information Management Trumps Master Data Management</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">08 November 2015 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-5.jpg?width=200&name=vrlogobug400x400-5.jpg" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-5.jpg?width=100&name=vrlogobug400x400-5.jpg 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-5.jpg?width=200&name=vrlogobug400x400-5.jpg 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-5.jpg?width=300&name=vrlogobug400x400-5.jpg 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-5.jpg?width=400&name=vrlogobug400x400-5.jpg 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-5.jpg?width=500&name=vrlogobug400x400-5.jpg 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-5.jpg?width=600&name=vrlogobug400x400-5.jpg 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Ventana Research defines product information management (PIM) as the practice of using information, applications and other technology to effectively support product-related processes across the customer, commerce and supply chain. As organizations increase the number and diversity of products and services they offer to customers and partners, they increasingly need to address limitations in the ways they manage and distribute product information, including related attributes and content that...</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2015/11/09/product-information-management-trumps-master-data-management"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/master-data-management">Master Data Management</a>, <a href="https://marksmith.isg-research.net/topic/governance">Governance</a>, <a href="https://marksmith.isg-research.net/topic/marketing">Marketing</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://marksmith.isg-research.net/topic/product-information-management">Product Information Management</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/isg-software-research">ISG Software Research</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2015/11/09/the-state-of-product-information-management-software-for-business-and-it">The State of Product Information Management Software for Business and IT</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">08 November 2015 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png?width=200&name=ventanaresearch_pim_vi_2015.png" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png?width=100&name=ventanaresearch_pim_vi_2015.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png?width=200&name=ventanaresearch_pim_vi_2015.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png?width=300&name=ventanaresearch_pim_vi_2015.png 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png?width=400&name=ventanaresearch_pim_vi_2015.png 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png?width=500&name=ventanaresearch_pim_vi_2015.png 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png?width=600&name=ventanaresearch_pim_vi_2015.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>The importance of product information management (PIM) has become clear in recent years and especially as it relates to master data management. <a href="//marksmith.ventanaresearch.com/2015/11/09/product-information-management-trumps-master-data-management/" target="_blank">As I recently wrote</a> handling this business process effectively and using capable software should be priorities for any organization in marketing and selling its products and services but also interconnecting the distributed supply chain. Our research on product information management can help organizations save time and resources in efforts to ensure...</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2015/11/09/the-state-of-product-information-management-software-for-business-and-it"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/master-data-management">Master Data Management</a>, <a href="https://marksmith.isg-research.net/topic/enterworks">Enterworks</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/stibo-systems">Stibo Systems</a>, <a href="https://marksmith.isg-research.net/topic/webon">Webon</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/ibm">IBM</a>, <a href="https://marksmith.isg-research.net/topic/informatica">Informatica</a>, <a href="https://marksmith.isg-research.net/topic/oracle">Oracle</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://marksmith.isg-research.net/topic/product-information-management">Product Information Management</a>, <a href="https://marksmith.isg-research.net/topic/riversand">Riversand</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/isg-software-research">ISG Software Research</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2014/12/31/integration-of-big-data-involves-challenges">Integration of Big Data Involves Challenges</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">31 December 2014 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif?width=200&name=vr_bdi14_performance_01_overall.gif" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif?width=100&name=vr_bdi14_performance_01_overall.gif 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif?width=200&name=vr_bdi14_performance_01_overall.gif 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif?width=300&name=vr_bdi14_performance_01_overall.gif 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif?width=400&name=vr_bdi14_performance_01_overall.gif 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif?width=500&name=vr_bdi14_performance_01_overall.gif 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif?width=600&name=vr_bdi14_performance_01_overall.gif 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as <a href="http://ventanaresearch.com/blog/commentblog.aspx?id=4572" target="_blank"><span style="text-decoration: underline;">I recently pointed out</span></a>. <a href="//www.ventanaresearch.com/bigdataintegration" target="_blank"><span style="text-decoration: underline;">Our big data integration benchmark research</span></a> makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative....</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2014/12/31/integration-of-big-data-involves-challenges"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://marksmith.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/information-applications-ia">Information Applications (IA)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/stratahadoop">Strata+Hadoop</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/mark-smith">Mark Smith</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2014/07/31/the-future-of-integrating-erp-and-applications-in-the-cloud">The Future of Integrating ERP and Applications in the Cloud</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/mark-smith"> Mark Smith </a> on <span class="post-date">30 July 2014 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr-bug-web1.png?width=200&name=vr-bug-web1.png" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr-bug-web1.png?width=100&name=vr-bug-web1.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr-bug-web1.png?width=200&name=vr-bug-web1.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr-bug-web1.png?width=300&name=vr-bug-web1.png 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr-bug-web1.png?width=400&name=vr-bug-web1.png 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr-bug-web1.png?width=500&name=vr-bug-web1.png 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr-bug-web1.png?width=600&name=vr-bug-web1.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>In recent years line-of-business applications including accounting, human resources, manufacturing, sales and customer service have appeared in the cloud. Cloud -based software as a service (SaaS) has replaced on-premises applications that were previously part of ERP and CRM environments. They have helped companies become more efficient but have also introduced interoperability challenges between business processes. Their advantage is that cloud software can be rented, configured and used...</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2014/07/31/the-future-of-integrating-erp-and-applications-in-the-cloud"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/erp">ERP</a>, <a href="https://marksmith.isg-research.net/topic/office-of-finance">Office of Finance</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/order-management">Order Management</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://marksmith.isg-research.net/topic/customer-service">Customer Service</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/cfo">CFO</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/sfa">SFA</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/mark-smith">Mark Smith</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2014/06/03/informatica-unveils-new-platform-and-tools-for-information-optimization">Informatica Unveils New Platform and Tools for Information Optimization</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/mark-smith"> Mark Smith </a> on <span class="post-date">03 June 2014 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png?width=200&name=ventanaresearch_techinnovation_award_winner_2013.png" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png?width=100&name=ventanaresearch_techinnovation_award_winner_2013.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png?width=200&name=ventanaresearch_techinnovation_award_winner_2013.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png?width=300&name=ventanaresearch_techinnovation_award_winner_2013.png 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png?width=400&name=ventanaresearch_techinnovation_award_winner_2013.png 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png?width=500&name=ventanaresearch_techinnovation_award_winner_2013.png 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png?width=600&name=ventanaresearch_techinnovation_award_winner_2013.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>At the Informatica World 2014 conference, the company known for its data integration software unveiled the <a href="http://www.informatica.com/us/company/news-and-events-calendar/press-releases/05132014-IntelligentDataPlatform.aspx" target="_blank">Intelligent Data Platform</a>. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to...</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2014/06/03/informatica-unveils-new-platform-and-tools-for-information-optimization"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/master-data-management">Master Data Management</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://marksmith.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://marksmith.isg-research.net/topic/data-management">Data Management</a>, <a href="https://marksmith.isg-research.net/topic/informatica">Informatica</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/customer-performance-management-cpm">Customer Performance Management (CPM)</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/information-applications-ia">Information Applications (IA)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://marksmith.isg-research.net/topic/product-information-management">Product Information Management</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a>, <a href="https://marksmith.isg-research.net/topic/workforce-performance-management-wpm">Workforce Performance Management (WPM)</a>, <a href="https://marksmith.isg-research.net/topic/application">application</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/mark-smith">Mark Smith</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2014/03/12/sas-unifies-big-data-for-business-and-it">SAS Unifies Big Data for Business and IT</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/mark-smith"> Mark Smith </a> on <span class="post-date">12 March 2014 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png?width=200&name=vr_big_data_analytics_02_defining_big_data_analytics-1.png" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png?width=100&name=vr_big_data_analytics_02_defining_big_data_analytics-1.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png?width=200&name=vr_big_data_analytics_02_defining_big_data_analytics-1.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png?width=300&name=vr_big_data_analytics_02_defining_big_data_analytics-1.png 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png?width=400&name=vr_big_data_analytics_02_defining_big_data_analytics-1.png 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png?width=500&name=vr_big_data_analytics_02_defining_big_data_analytics-1.png 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png?width=600&name=vr_big_data_analytics_02_defining_big_data_analytics-1.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is <a href="http://www.sas.com/" target="_blank">SAS Institute</a>. I recently attended the company’s annual analyst summit, Inside Intelligence 2014 (Twitter Hashtag #SASSB). <a href="http://www.sas.com/en_us/news/press-releases/2014/january/2013-financials.html" target="_blank">SAS reported more than $3 billion in software revenue for 2013</a> and is known...</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2014/03/12/sas-unifies-big-data-for-business-and-it"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://marksmith.isg-research.net/topic/sas">SAS</a>, <a href="https://marksmith.isg-research.net/topic/event-stream">Event Stream</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/analytics">Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/data-management">Data Management</a>, <a href="https://marksmith.isg-research.net/topic/information-management">Information Management</a>, <a href="https://marksmith.isg-research.net/topic/location-intelligence">Location Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/customer-performance-management-cpm">Customer Performance Management (CPM)</a>, <a href="https://marksmith.isg-research.net/topic/discovery">Discovery</a>, <a href="https://marksmith.isg-research.net/topic/information-applications-ia">Information Applications (IA)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/mark-smith">Mark Smith</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2014/01/27/big-data-offers-business-opportunity-for-information-optimization-in-2014">Big Data Offers Business Opportunity for Information Optimization in 2014</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/mark-smith"> Mark Smith </a> on <span class="post-date">27 January 2014 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventana_research_benchmark_research_logo.png?width=200&name=ventana_research_benchmark_research_logo.png" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventana_research_benchmark_research_logo.png?width=100&name=ventana_research_benchmark_research_logo.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventana_research_benchmark_research_logo.png?width=200&name=ventana_research_benchmark_research_logo.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventana_research_benchmark_research_logo.png?width=300&name=ventana_research_benchmark_research_logo.png 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventana_research_benchmark_research_logo.png?width=400&name=ventana_research_benchmark_research_logo.png 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventana_research_benchmark_research_logo.png?width=500&name=ventana_research_benchmark_research_logo.png 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/ventana_research_benchmark_research_logo.png?width=600&name=ventana_research_benchmark_research_logo.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Businesses are always looking for ways to grow and to streamline their operations. These two goals can come into conflict because as organizations become larger it becomes more complicated to be agile and efficient. To help them understand and modify their processes, businesses can derive insights from analytics applied to their data. Today that data is available not only in the enterprise and cloud computing environments but also from the Internet. To collect, process and analyze it all is a...</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2014/01/27/big-data-offers-business-opportunity-for-information-optimization-in-2014"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/social-media">Social Media</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://marksmith.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://marksmith.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://marksmith.isg-research.net/topic/location-intelligence">Location Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/customer-performance-management-cpm">Customer Performance Management (CPM)</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/information-applications-ia">Information Applications (IA)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a>, <a href="https://marksmith.isg-research.net/topic/workforce-performance-management-wpm">Workforce Performance Management (WPM)</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/mark-smith">Mark Smith</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2014/01/13/ibm-bets-a-billion-to-mobilize-watson-business-unit-to-monetize-cognitive-computing">IBM Bets a Billion to Mobilize Watson Business Unit and Monetize Cognitive Computing</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/mark-smith"> Mark Smith </a> on <span class="post-date">13 January 2014 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_techaward_winner-1.jpg?width=200&name=vr_techaward_winner-1.jpg" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_techaward_winner-1.jpg?width=100&name=vr_techaward_winner-1.jpg 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_techaward_winner-1.jpg?width=200&name=vr_techaward_winner-1.jpg 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_techaward_winner-1.jpg?width=300&name=vr_techaward_winner-1.jpg 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_techaward_winner-1.jpg?width=400&name=vr_techaward_winner-1.jpg 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_techaward_winner-1.jpg?width=500&name=vr_techaward_winner-1.jpg 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_techaward_winner-1.jpg?width=600&name=vr_techaward_winner-1.jpg 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>With much fanfare and a rarely seen introduction by CEO Ginni Rometty, IBM launched IBM Watson as a new business unit focused on cognitive computing technology and solutions, now being led by<a href="http://www-03.ibm.com/press/us/en/pressrelease/42869.wss" target="_blank"> Senior Vice President Mike Rhodin. The announcement is summarized here</a>:. Until now IBM Watson was important but had neither this stature in IBM’s organizational structure nor enough investment to support what the company proclaims is the third phase of computing. As IBM tells it, computing paradigms began...</p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2014/01/13/ibm-bets-a-billion-to-mobilize-watson-business-unit-to-monetize-cognitive-computing"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/social-media">Social Media</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/analytics">Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://marksmith.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://marksmith.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://marksmith.isg-research.net/topic/location-intelligence">Location Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/cognitive-computing">Cognitive Computing</a>, <a href="https://marksmith.isg-research.net/topic/customer-performance-management-cpm">Customer Performance Management (CPM)</a>, <a href="https://marksmith.isg-research.net/topic/discovery">Discovery</a>, <a href="https://marksmith.isg-research.net/topic/exploration">Exploration</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/ibm-watson">IBM Watson</a>, <a href="https://marksmith.isg-research.net/topic/information-applications-ia">Information Applications (IA)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/it-performance-management-itpm">IT Performance Management (ITPM)</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a>, <a href="https://marksmith.isg-research.net/topic/workforce-performance-management-wpm">Workforce Performance Management (WPM)</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/mark-smith">Mark Smith</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/2014/01/08/research-agendas-for-2014-optimizing-the-use-of-technology-for-business">Research Agendas for 2014: Optimizing the Use of Technology for Business</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/mark-smith"> Mark Smith </a> on <span class="post-date">08 January 2014 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-2.jpg?width=200&name=vrlogobug400x400-2.jpg" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-2.jpg?width=100&name=vrlogobug400x400-2.jpg 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-2.jpg?width=200&name=vrlogobug400x400-2.jpg 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-2.jpg?width=300&name=vrlogobug400x400-2.jpg 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-2.jpg?width=400&name=vrlogobug400x400-2.jpg 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-2.jpg?width=500&name=vrlogobug400x400-2.jpg 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vrlogobug400x400-2.jpg?width=600&name=vrlogobug400x400-2.jpg 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Greetings, everyone, and best wishes for a great start to 2014. In this new year, utilizing best practices and skills learned in 2013 will be critical for optimizing the use of efforts to support both business and IT. In 2013 many organizations made progress in balancing technology decisions across business and IT as the lines of business continued to take leading roles in investment and prioritization. Major investments were made in business applications using software as a service, business...</p> </div> <a href="https://marksmith.isg-research.net/2014/01/08/research-agendas-for-2014-optimizing-the-use-of-technology-for-business"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/social-media">Social Media</a>, <a href="https://marksmith.isg-research.net/topic/market-research">Market Research</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/analytics">Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://marksmith.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://marksmith.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://marksmith.isg-research.net/topic/location-intelligence">Location Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/cfo">CFO</a>, <a href="https://marksmith.isg-research.net/topic/coo">COO</a>, <a href="https://marksmith.isg-research.net/topic/customer-performance-management-cpm">Customer Performance Management (CPM)</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/information-applications-ia">Information Applications (IA)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/it-performance-management-itpm">IT Performance Management (ITPM)</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a>, <a href="https://marksmith.isg-research.net/topic/technology">Technology</a>, <a href="https://marksmith.isg-research.net/topic/workforce-performance-management-wpm">Workforce Performance Management (WPM)</a> <hr> </div> <a class="sdfdsf" href="https://marksmith.isg-research.net/author/mark-smith">Mark Smith</a> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://marksmith.isg-research.net/marksmith-blog/2013/08/31/ventana-research-technology-innovation-awards-are-more-than-cool">Ventana Research Technology Innovation Awards Are More Than Cool</a></h2> <div class="author-meta"> Posted by <a href="https://marksmith.isg-research.net/author/mark-smith"> Mark Smith </a> on <span class="post-date">31 August 2013 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/2013_tech_innovation_award-1.png?width=200&name=2013_tech_innovation_award-1.png" width="200" !important: srcset="https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/2013_tech_innovation_award-1.png?width=100&name=2013_tech_innovation_award-1.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/2013_tech_innovation_award-1.png?width=200&name=2013_tech_innovation_award-1.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/2013_tech_innovation_award-1.png?width=300&name=2013_tech_innovation_award-1.png 300w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/2013_tech_innovation_award-1.png?width=400&name=2013_tech_innovation_award-1.png 400w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/2013_tech_innovation_award-1.png?width=500&name=2013_tech_innovation_award-1.png 500w, https://marksmith.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/2013_tech_innovation_award-1.png?width=600&name=2013_tech_innovation_award-1.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>In the realm of technology that matters for business and IT, our firm as part of our responsibility continually assesses the latest technology and how it can impact organizations’ efficiency and effectiveness. <a href="//www.ventanaresearch.com/bti" target="_blank">Our benchmark research in technology innovation</a> found that 87% of participants indicated the importance of increasing the organization’s value through technology innovation. Every year we take our knowledge from research and technology briefings to focus on our <a href="//www.ventanaresearch.com/Innovationawards/" target="_blank">Technology Innovation Awards</a></p> </div> <a href="https://marksmith.isg-research.net/marksmith-blog/2013/08/31/ventana-research-technology-innovation-awards-are-more-than-cool"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://marksmith.isg-research.net/topic/big-data">Big Data</a>, <a href="https://marksmith.isg-research.net/topic/datameer">Datameer</a>, <a href="https://marksmith.isg-research.net/topic/mobile">Mobile</a>, <a href="https://marksmith.isg-research.net/topic/sales">Sales</a>, <a href="https://marksmith.isg-research.net/topic/social-media">Social Media</a>, <a href="https://marksmith.isg-research.net/topic/sustainability">Sustainability</a>, <a href="https://marksmith.isg-research.net/topic/customer">Customer</a>, <a href="https://marksmith.isg-research.net/topic/esri">ESRI</a>, <a href="https://marksmith.isg-research.net/topic/globoforce">Globoforce</a>, <a href="https://marksmith.isg-research.net/topic/grc">GRC</a>, <a href="https://marksmith.isg-research.net/topic/hcm">HCM</a>, <a href="https://marksmith.isg-research.net/topic/kronos">Kronos</a>, <a href="https://marksmith.isg-research.net/topic/kyriba">Kyriba</a>, <a href="https://marksmith.isg-research.net/topic/location-analytics">Location Analytics</a>, <a href="https://marksmith.isg-research.net/topic/marketing">Marketing</a>, <a href="https://marksmith.isg-research.net/topic/netbase">NetBase</a>, <a href="https://marksmith.isg-research.net/topic/office-of-finance">Office of Finance</a>, <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM)</a>, <a href="https://marksmith.isg-research.net/topic/overall-operational-leadership">Overall Operational Leadership</a>, <a href="https://marksmith.isg-research.net/topic/peoplefluent">Peoplefluent</a>, <a href="https://marksmith.isg-research.net/topic/planview">Planview</a>, <a href="https://marksmith.isg-research.net/topic/sqlstream">SQLstream</a>, <a href="https://marksmith.isg-research.net/topic/vmware">VMWare</a>, <a href="https://marksmith.isg-research.net/topic/vpi">VPI</a>, <a href="https://marksmith.isg-research.net/topic/it-analytics-performance">IT Analytics & Performance</a>, <a href="https://marksmith.isg-research.net/topic/analytics">Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://marksmith.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://marksmith.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/business-mobility">Business Mobility</a>, <a href="https://marksmith.isg-research.net/topic/cio">CIO</a>, <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://marksmith.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://marksmith.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://marksmith.isg-research.net/topic/hortonworks">Hortonworks</a>, <a href="https://marksmith.isg-research.net/topic/ibm">IBM</a>, <a href="https://marksmith.isg-research.net/topic/informatica">Informatica</a>, <a href="https://marksmith.isg-research.net/topic/information-builders">Information Builders</a>, <a href="https://marksmith.isg-research.net/topic/information-management">Information Management</a>, <a href="https://marksmith.isg-research.net/topic/information-technology">Information Technology</a>, <a href="https://marksmith.isg-research.net/topic/kxen">KXEN</a>, <a href="https://marksmith.isg-research.net/topic/location-intelligence">Location Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://marksmith.isg-research.net/topic/oracle">Oracle</a>, <a href="https://marksmith.isg-research.net/topic/business-performance-management-bpm">Business Performance Management (BPM)</a>, <a href="https://marksmith.isg-research.net/topic/contact-center">Contact Center</a>, <a href="https://marksmith.isg-research.net/topic/customer-performance-management-cpm">Customer Performance Management (CPM)</a>, <a href="https://marksmith.isg-research.net/topic/datawatch">Datawatch</a>, <a href="https://marksmith.isg-research.net/topic/financial-management">Financial Management</a>, <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM)</a>, <a href="https://marksmith.isg-research.net/topic/information-applications-ia">Information Applications (IA)</a>, <a href="https://marksmith.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://marksmith.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://marksmith.isg-research.net/topic/it-performance-management-itpm">IT Performance Management (ITPM)</a>, <a href="https://marksmith.isg-research.net/topic/johnson-controls-panoptix">Johnson Controls Panoptix</a>, <a href="https://marksmith.isg-research.net/topic/roambi">Roambi</a>, <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM)</a>, <a href="https://marksmith.isg-research.net/topic/service-supply-chain">Service & Supply Chain</a>, <a href="https://marksmith.isg-research.net/topic/supply-chain-performance-management-scpm">Supply Chain Performance Management (SCPM)</a>, <a href="https://marksmith.isg-research.net/topic/upstream-works">Upstream Works</a>, <a href="https://marksmith.isg-research.net/topic/vertex">Vertex</a>, <a href="https://marksmith.isg-research.net/topic/workforce-performance-management-wpm">Workforce Performance Management (WPM)</a>, <a href="https://marksmith.isg-research.net/topic/xactly">Xactly</a> <hr> </div> <script> // Check active classes var checkClass = function() { if ( $('.fil_item').hasClass('hide') ) { $('.fil_item').removeClass('hide'); } }; // Category filters $('.all').click( function() { checkClass(); }); // Active tag $('.bttn').click(function(){ $('.bttn').removeClass('active'); $(this).addClass('active'); }) </script> </div> <div class="blog-numeric-pagination span12 ">   <ul class="numeric-pagination"> <li class="disabled"><a href="https://marksmith.isg-research.net/topic/cio/page/0"><svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 492 492" width="20px" height="20px"> <path d="M198.608,246.104L382.664,62.04c5.068-5.056,7.856-11.816,7.856-19.024c0-7.212-2.788-13.968-7.856-19.032l-16.128-16.12 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srcset="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=50&name=Menninger.David%20Pic.Circle.png 50w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=150&name=Menninger.David%20Pic.Circle.png 150w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=200&name=Menninger.David%20Pic.Circle.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=250&name=Menninger.David%20Pic.Circle.png 250w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=300&name=Menninger.David%20Pic.Circle.png 300w"> <h5 class="analyst_name">David Menninger</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://jefforr.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png" alt="Jeff Orr" width="100" data-constrained="true" caption="false" srcset="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=50&name=Orr.Jeff.Circle.png 50w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=150&name=Orr.Jeff.Circle.png 150w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=200&name=Orr.Jeff.Circle.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=250&name=Orr.Jeff.Circle.png 250w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=300&name=Orr.Jeff.Circle.png 300w" sizes="(max-width: 100px) 100vw, 100px"> <h5 class="analyst_name">Jeff Orr</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://keithdawson.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png" alt="Keith Dawson" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=50&name=Dawson.Keith%20Pic.Circle.png 50w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=150&name=Dawson.Keith%20Pic.Circle.png 150w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=200&name=Dawson.Keith%20Pic.Circle.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=250&name=Dawson.Keith%20Pic.Circle.png 250w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=300&name=Dawson.Keith%20Pic.Circle.png 300w"> <h5 class="analyst_name">Keith Dawson</h5> </a> </div> <div class="span6" style="text-align:center;"> <a href="https://marksmith.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png" alt="Mark Smith" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=50&name=Smith.Mark%20Pic.Circle.png 50w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=150&name=Smith.Mark%20Pic.Circle.png 150w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=200&name=Smith.Mark%20Pic.Circle.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=250&name=Smith.Mark%20Pic.Circle.png 250w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=300&name=Smith.Mark%20Pic.Circle.png 300w"> <h5 class="analyst_name">Mark Smith</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://mattaslett.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png" alt="Matt Aslett" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=50&name=Aslett.Matt%20Pic.Circle.png 50w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png 100w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=150&name=Aslett.Matt%20Pic.Circle.png 150w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=200&name=Aslett.Matt%20Pic.Circle.png 200w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=250&name=Aslett.Matt%20Pic.Circle.png 250w, https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=300&name=Aslett.Matt%20Pic.Circle.png 300w"> <h5 class="analyst_name">Matt Aslett</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://matthewbrown.isg-research.net/"> <img class="analyst_img" style="width: 100px;" src="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=100&name=profile_vr_matthew_brown_circle_900x900.png" alt="Matthew Brown" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://marksmith.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=50&name=profile_vr_matthew_brown_circle_900x900.png 50w, 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style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2020/10">October 2020 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2020/08">August 2020 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2020/07">July 2020 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2020/06">June 2020 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2020/05">May 2020 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2020/04">April 2020 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2020/02">February 2020 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2019/12">December 2019 <span class="filter-link-count" dir="ltr">(9)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2019/11">November 2019 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2019/10">October 2019 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2018/12">December 2018 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2018/11">November 2018 <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a 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href="https://marksmith.isg-research.net/archive/2017/03">March 2017 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2016/12">December 2016 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2016/07">July 2016 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2016/06">June 2016 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2016/05">May 2016 <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2016/04">April 2016 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2016/03">March 2016 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2015/12">December 2015 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2015/11">November 2015 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2015/02">February 2015 <span class="filter-link-count" dir="ltr">(9)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2015/01">January 2015 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2014/12">December 2014 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a 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href="https://marksmith.isg-research.net/archive/2014/02">February 2014 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2014/01">January 2014 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2013/08">August 2013 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2013/06">June 2013 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2013/05">May 2013 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2013/04">April 2013 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2013/03">March 2013 <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2013/02">February 2013 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2013/01">January 2013 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/12">December 2012 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/11">November 2012 <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/10">October 2012 <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/09">September 2012 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/08">August 2012 <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/07">July 2012 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/06">June 2012 <span class="filter-link-count" dir="ltr">(14)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/05">May 2012 <span class="filter-link-count" dir="ltr">(13)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/04">April 2012 <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/03">March 2012 <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/02">February 2012 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2012/01">January 2012 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/12">December 2011 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/11">November 2011 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/10">October 2011 <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/09">September 2011 <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/08">August 2011 <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/07">July 2011 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/06">June 2011 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/05">May 2011 <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/04">April 2011 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/03">March 2011 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/02">February 2011 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2011/01">January 2011 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2010/12">December 2010 <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2010/11">November 2010 <span class="filter-link-count" dir="ltr">(40)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2010/07">July 2010 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/archive/2010/06">June 2010 <span class="filter-link-count" dir="ltr">(11)</span></a> </li> </ul> <a class="filter-expand-link" href="#">see all</a> </div> </div> </span> <span id="hs_cos_wrapper_post_filter" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_post_filter" style="" data-hs-cos-general-type="widget" data-hs-cos-type="post_filter"><div class="block"> <h3>Posts by Topic</h3> <div class="widget-module"> <ul> <li> <a href="https://marksmith.isg-research.net/topic/agent-management">agent management <span class="filter-link-count" dir="ltr">(23)</span></a> </li> <li> <a href="https://marksmith.isg-research.net/topic/ai">AI <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li> <a href="https://marksmith.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning <span class="filter-link-count" dir="ltr">(30)</span></a> </li> <li> <a href="https://marksmith.isg-research.net/topic/alteryx">alteryx 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<a href="https://marksmith.isg-research.net/topic/cio">CIO <span class="filter-link-count" dir="ltr">(70)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cirro">Cirro <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cisco">Cisco <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cloud-computing">Cloud Computing <span class="filter-link-count" dir="ltr">(238)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cloud9-analytics">Cloud9 Analytics <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cloudera">Cloudera <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cmo">CMO <span class="filter-link-count" dir="ltr">(25)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/coaching">coaching <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cognitive-computing">Cognitive Computing <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cognos">Cognos <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/collaboration">Collaboration <span class="filter-link-count" dir="ltr">(52)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/collaboration-for-business">collaboration for business <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/collaborative-computing">collaborative computing <span class="filter-link-count" dir="ltr">(24)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/commerce">Commerce <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/commission">commission <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/compensation">Compensation <span class="filter-link-count" dir="ltr">(39)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/complex-event-processing">Complex Event Processing <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/compliance">compliance <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/composite-software">Composite Software <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/contact-center">Contact Center <span class="filter-link-count" dir="ltr">(46)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/contact-center-analytics">Contact Center Analytics <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/content-management">Content Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/contingent-labor">Contingent Labor <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/continuous-payroll">Continuous Payroll <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/continuous-planning">Continuous Planning <span class="filter-link-count" dir="ltr">(9)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/continuous-supply-chain">continuous supply chain <span class="filter-link-count" dir="ltr">(24)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/conversational-computing">Conversational Computing <span class="filter-link-count" dir="ltr">(36)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/coo">COO <span class="filter-link-count" dir="ltr">(9)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cornerstone-ondemand">Cornerstone OnDemand <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cpq">CPQ <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/crm">CRM <span class="filter-link-count" dir="ltr">(25)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cto">CTO <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer">Customer <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-analytics">Customer Analytics <span class="filter-link-count" dir="ltr">(27)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-communications">Customer Communications <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-data-management">Customer Data Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-engagement">Customer Engagement <span class="filter-link-count" dir="ltr">(20)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-excellence">Customer Excellence <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-experience">Customer Experience <span class="filter-link-count" dir="ltr">(69)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-experience-management">Customer Experience Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-feedback-management">Customer Feedback Management <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-interaction-technology">Customer Interaction Technology <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-performance-management-cpm">Customer Performance Management (CPM) <span class="filter-link-count" dir="ltr">(159)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/customer-service">Customer Service <span class="filter-link-count" dir="ltr">(24)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/cybersecurity">Cybersecurity <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/dashboards">Dashboards <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data">Data <span class="filter-link-count" dir="ltr">(61)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-discovery">Data Discovery <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-governance">Data Governance <span class="filter-link-count" dir="ltr">(32)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-integration">Data Integration <span class="filter-link-count" dir="ltr">(26)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-integrity">data integrity <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-lake">Data Lake <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-lakes">data lakes <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-management">Data Management <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-mart">data mart <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-mining">Data Mining <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-operations">data operations <span class="filter-link-count" dir="ltr">(11)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-preparation">Data Preparation <span class="filter-link-count" dir="ltr">(15)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-quality">Data Quality <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-science">Data Science <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-virtualization">Data Virtualization <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/data-warehousing">Data Warehousing <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/database">Database <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/database-as-a-service">Database as a Service <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/database-com">database.com <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/datameer">Datameer <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/datawatch">Datawatch <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/dayforce">dayforce <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/decision-management">Decision Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/dell-boomi">Dell Boomi <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/demand-generation">Demand Generation <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/department-of-labor">Department of Labor <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/desktop-analytics">Desktop Analytics <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/df11">DF11 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/dg">DG <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-applications">Digital Applications <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-business">Digital Business <span class="filter-link-count" dir="ltr">(21)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-commerce">Digital Commerce <span class="filter-link-count" dir="ltr">(46)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-communications">Digital Communications <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-intelligence">Digital Intelligence <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-interviewing">Digital Interviewing <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-marketing">Digital Marketing <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-operations">Digital Operations <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-publishing">Digital Publishing <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-security">Digital Security <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-technology">Digital Technology <span class="filter-link-count" dir="ltr">(81)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/digital-transformation">Digital transformation <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/discovery">Discovery <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/document-management">Document Management <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/domestic-payroll">Domestic Payroll <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/domo">Domo <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/dreamforce">Dreamforce <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/eg-solutions">eg Solutions <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/eloqua">Eloqua <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/embedded-analytics">embedded analytics <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/emc">EMC <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/employee-experience">employee experience <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/enterprise-applications">Enterprise Applications <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/enterprise-data-strategy">Enterprise Data Strategy <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/enterprise-messaging-internet-of-things-iot-middle">Enterprise messaging, Internet of Things, IoT, mid <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/enterprise-resource-planning">Enterprise Resource Planning <span class="filter-link-count" dir="ltr">(25)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/enterprise-software">Enterprise Software <span class="filter-link-count" dir="ltr">(14)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/enterworks">Enterworks <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/equifax">Equifax <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/erp">ERP <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/erp-and-continuous-accounting">ERP and Continuous Accounting <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/esri">ESRI <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/ethority">eThority <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/event-discovery">Event discovery <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/event-stream">Event Stream <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/exacttarget">ExactTarget <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/excentive">Excentive <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/experience-management">Experience Management <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/expert-systems">Expert Systems <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/exploration">Exploration <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/extended-reality">extended reality <span class="filter-link-count" dir="ltr">(11)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/field-service">Field Service <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/final-rule">Final Rule <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/finance">finance <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/financial-management">Financial Management <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/financial-performance-management">Financial Performance Management <span class="filter-link-count" dir="ltr">(11)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM) <span class="filter-link-count" dir="ltr">(183)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/financialforce">FinancialForce <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/flsa">FLSA <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/forecast">Forecast <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a 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dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/netbase">NetBase <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/netezza">Netezza <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/netsuite">NetSuite <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/networking">Networking <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/newvoicemedia">NewVoicemedia <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/nice-systems">NICE Systems <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/nosql">NoSQL <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/office-of-finance">Office of Finance <span class="filter-link-count" dir="ltr">(47)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/office-of-revenue">Office of Revenue <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/office-of-sales">Office of Sales <span class="filter-link-count" dir="ltr">(13)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/on24">On24 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/open-pages">Open Pages <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/opera-solutions">Opera Solutions <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/operational-intelligence">Operational Intelligence <span class="filter-link-count" dir="ltr">(71)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/operational-management">Operational Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM) <span class="filter-link-count" dir="ltr">(227)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/operations">Operations <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/operations-supply-chain">Operations & Supply Chain <span class="filter-link-count" dir="ltr">(50)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/oracle">Oracle <span class="filter-link-count" dir="ltr">(24)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/oracle-cloud">Oracle Cloud <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/oracle-fusion-hcm">Oracle Fusion HCM <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/order-management">Order Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/other">Other <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/overall-operational-leadership">Overall Operational Leadership <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/overtime-rule">Overtime Rule <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/panopticon">Panopticon <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pardot">Pardot <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/part-541">Part 541 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/partner-management">partner management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/paxata">Paxata <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/payroll-management">Payroll Management <span class="filter-link-count" dir="ltr">(9)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/payroll-optimization">Payroll Optimization <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pentaho">Pentaho <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/people-analytics">People Analytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/peoplefluent">Peoplefluent <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/performance">Performance <span class="filter-link-count" dir="ltr">(21)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/performance-analytics">Performance Analytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/performance-management">Performance Management <span class="filter-link-count" dir="ltr">(20)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pervasive">Pervasive <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pim">PIM <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pim-product-information-management-sales-marketing">PIM, Product Information Management, Sales, Market <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pitney-bowes">Pitney Bowes <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pivotal-hd">Pivotal HD <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/planning">Planning <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/planview">Planview <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/plateau">Plateau <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/playbook">Playbook <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/portfolio-management">Portfolio Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/portrait-software">Portrait Software <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/potus">POTUS <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/powercenter">PowerCenter <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/predictive">Predictive <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/predictive-analytics">Predictive Analytics <span class="filter-link-count" dir="ltr">(18)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/predictive-planning">Predictive Planning <span class="filter-link-count" dir="ltr">(13)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/president-obama">President Obama <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/price-and-revenue-management">Price and Revenue Management <span class="filter-link-count" dir="ltr">(23)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pricing-and-promotion-management">Pricing and Promotion Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/process-mining">Process Mining <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/product-experience-management">product experience management <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/product-information-management">Product Information Management <span class="filter-link-count" dir="ltr">(46)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/pxm">PXM <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/qlikview">QlikView <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/quotas">Quotas <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/qvidian">Qvidian <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/r">R <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/ransomware">Ransomware <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/recruiting">Recruiting <span class="filter-link-count" dir="ltr">(24)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/recurring-revenue">Recurring Revenue <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/reporting">Reporting <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/research">Research <span class="filter-link-count" dir="ltr">(14)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/retail-analytics">Retail Analytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/revenue">Revenue <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/revenue-performance">Revenue Performance <span class="filter-link-count" dir="ltr">(9)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/revolution">Revolution <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/rim">RIM <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/risk">Risk <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/risk-compliance-grc">Risk & Compliance (GRC) <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/riversand">Riversand <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/roambi">Roambi <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/robotic-automation">robotic automation <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/robotic-finance">robotic finance <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/robotic-process-automation">Robotic Process Automation <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/rypple">Rypple <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/saas">SaaS <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sab-miller">SAB Miller <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/saba">Saba <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales">Sales <span class="filter-link-count" dir="ltr">(73)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-and-operations-planning">Sales and Operations Planning <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-cloud">Sales Cloud <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-coaching">Sales Coaching <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-commission">Sales Commission <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-compensation">Sales Compensation <span class="filter-link-count" dir="ltr">(13)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-effectiveness">Sales Effectiveness <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-enablement">sales enablement <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-enablement-and-execution">Sales Enablement and Execution <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-force-automation">Sales Force Automation <span class="filter-link-count" dir="ltr">(14)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-forecasting">Sales Forecasting <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-operations">Sales Operations <span class="filter-link-count" dir="ltr">(11)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-performance">Sales Performance <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-performance-management">Sales Performance Management <span class="filter-link-count" dir="ltr">(47)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM) <span class="filter-link-count" dir="ltr">(182)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-planning">Sales Planning <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-planning-and-analytics">Sales Planning and Analytics <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sales-sfa-spm-sales-performance-management-sales-c">Sales, SFA, SPM, Sales Performance Management, Sal <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/salescloud">SalesCloud <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/salesforce-com">Salesforce.com <span class="filter-link-count" dir="ltr">(24)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sap">SAP <span class="filter-link-count" dir="ltr">(28)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sap-epm">SAP EPM <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sap-hana">SAP HANA <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sap-lumira">SAP Lumira <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sap-netweaver">SAP NetWeaver <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sapphire">SAPPHIRE <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/sas">SAS <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://marksmith.isg-research.net/topic/savi">Savi <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a 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src="/hs/hsstatic/content-cwv-embed/static-1.1293/embed.js"></script> <script src="https://marksmith.isg-research.net/hs-fs/hub/2035844/hub_generated/template_assets/94278782902/1725882474552/Ventana_Research_2023/Ventana_Research_2023_child.min.js"></script> <script> var hsVars = hsVars || {}; hsVars['language'] = 'en-us'; </script> <script src="/hs/hsstatic/cos-i18n/static-1.53/bundles/project.js"></script> <script src="https://marksmith.isg-research.net/hs-fs/hub/2035844/hub_generated/module_assets/90531062927/1702386872146/module_90531062927_Header-Global.min.js"></script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Product Information Management Trumps Master Data Management", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2015/11/09/product-information-management-trumps-master-data-management", "datePublished": "08/11/2015", "dateModified": "08/11/2015", "articleBody": "Ventana Research defines product information management (PIM) as the practice of using information, applications and other technology to effectively support product-related processes across the customer, commerce and supply chain. As organizations increase the number and diversity of products and services they offer to customers and partners, they increasingly need to address limitations in the ways they manage and distribute product information, including related attributes and content that describes the products. At the same time, competitive pressures require them to be able to incorporate large amounts of new content – video and images, for example – quickly while ensuring that the information presented to customers is accurate, operational processes run uninterrupted and timely data is available for business analysis. In an environment in which consumers, suppliers and partners use multiple channels to get to product information – including websites, kiosks, smartphones and tablets – it is essential that the organization always be able to present complete and up-to-date product information to inspire interest and facilitate purchases. Product information management and the applications and technology that enable it are designed to help businesses provide the best possible product information to their departments and partners. To accomplish this, PIM software must support multiple business roles, from product managers and marketers to operations and manufacturing teams and to suppliers and those in the supply chain. Manufacturers, for example, need to share product information with distributors and with direct retailers or digital commerce providers on the Internet. For finance and operations departments, effective use of product information increases the efficiency of business processes and reduces the risk of using improper information that could reduce profitability and degrade the customer experience. Effectively managed information about products is also essential to support a range of decision-making about products and services. Analytics applied to product information can yield a variety of metrics; they can indicate where product information is missing, where it needs to be improved, patterns of product usage and the meaning of feedback about them. In the preparation of product information, analytics can help profile and improve the quality of data and associated attributes to reveal where action must be taken. Product information management is not the same as master data management (MDM), although the two sometimes are confused. This misunderstanding can distract businesses from focusing on what they need in a PIM application. MDM technology can ensure a single definition of data across the enterprise and improve the quality and integration of data across information systems. Many PIM systems have built-in MDM and now data integration and data quality processes to ensure there is only one defined master record for any given product. It is important to realize that product information encompasses more than just the defined name and attributes of a product in a database; it includes all related information needed for reference or compliance purposes. Organizations should take care to understand the differences between PIM and MDM as well as how they can complement each other to inform decisions. PIM is essential to enable business units to manage their product-related processes themselves just as IT staff need MDM and integration tools to enable them to manage data throughout the enterprise. ERP and supply chain applications including product life-cycle management (PLM) have fallen short in meeting the requirements for PIM, leaving many organizations with a lack of consistency in mastering and publishing product information both inside the enterprise and across the supply and demand chain. Commerce software also has lacked depth in providing PIM, a core ingredient for transacting business in products and services. Many commerce providers talk about the importance of focusing on the customer experience, for which effective PIM is a necessity. Web content management software also has a role, but its design is focused on dynamically generating content from a database and personalizing it for business. The lack of maturity in these software categories creates a role for PIM software that can interoperate across business processes and applications. The goal of PIM is to establish a reliable single source of product information that can be shared across channels. Getting it right is not easy; our benchmark research shows that more than one-quarter of organizations have more than 10 sources of product information that they must integrate and manage efficiently. Half of participants in our research acknowledged that standardizing product information requires substantial effort, and only 27 percent said they completely trust their product information. In their efforts to produce a reliable product record, most organizations use laborious, time-consuming methods: 37 percent develop custom code, and 45 percent rely on manual effort. One-third of all participants still depend heavily on spreadsheets to create their product records, and almost half (46%) depend on them somewhat. And nearly all (94%) spreadsheet users find major or minor errors in their records. Processes and tools are available that can automate much of this work. If properly deployed, PIM systems can synchronize all attributes and definitions used in the identification, description, sales and fulfillment of products across all channels that customers, suppliers, trading partners and employees use. Some businesses are implementing PIM that has master data management embedded within it while others connect PIM to their IT organization’s MDM, which can help improve the consistency and quality of data across the enterprise. PIM and MDM projects typically incorporate tools for data discovery, profiling and quality verification to deepen understanding of the data, including relationships and associations among items. This knowledge can be essential for integrating content and data from multiple sources and defining master data. MDM software by itself and without a PIM context is just for the data infrastructure; this in recent years has slowed its adoption as what is commonly called big data complicates data transformation and creates challenges in adapting to business applications. MDM vendors that continue to insist that their products address PIM often find the decline of interest challenging their market relevance. In contrast, independent vendors focused on PIM have enjoyed a growing market presence in recent years. But just focusing on PIM has its own challenges as organizations look for simpler and more interconnected systems that utilize cloud computing and software as a service; many of these vendors have not moved rapidly enough to support these changes. The benefits of using dedicated PIM technology can be significant. More than 40 percent of organizations said it can help eliminate data errors, improve cross-sell and up-sell opportunities and improve the customer experience through consistent product information. Yet our research indicates that most organizations have not adopted more capable systems: Only 27 percent use commercial software dedicated to PIM, although more than half (57%) said they will change their PIM system within 12 to 18 months. The latter finding in particular underscores the importance of having a reliable guide such as our 2015 Value Index for PIM which can help companies assess and evaluate vendors and products in this software category. I summarize our analysis in another analyst perspective to illuminate further how it can assist your efforts. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vrlogobug400x400-5.jpg", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://marksmith.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "The State of Product Information Management Software for Business and IT", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2015/11/09/the-state-of-product-information-management-software-for-business-and-it", "datePublished": "08/11/2015", "dateModified": "08/11/2015", "articleBody": "The importance of product information management (PIM) has become clear in recent years and especially as it relates to master data management. As I recently wrote handling this business process effectively and using capable software should be priorities for any organization in marketing and selling its products and services but also interconnecting the distributed supply chain. Our research on product information management can help organizations save time and resources in efforts to ensure that product information is an asset to facilitate efficiency in many business processes. Through years of benchmarking, we have developed a blueprint for managing and improving product information. Using this approach enables companies to more effectively align and link their activities and processes. Of course achieving effectiveness also requires using applications that create consistent, reliable product information. We regularly update our Value Index for PIM to enable companies to evaluate vendors and their applications’ suitability for use in all business processes requiring product information. The Ventana Research Value Index methodology evaluates application vendors and their products in seven categories. Five are product-related, assessing usability, manageability, reliability, capability and adaptability, while two quantify the customer assurance issues of vendor validation and total cost of ownership and return on investment (TCO/ROI). The Ventana Research Value Index: Product Information Management in 2015 is the distillation of a year of market and product research by analysts at Ventana Research, the premier benchmark research and advisory services firm. Built on a foundation of 12 years of business and technology research, this unbiased, fact-based index is the first such industry undertaking to assess the value of software designed specifically for enabling product information management. The Value Index for Product Information Management in 2015 reveals insights into the state of the software market for PIM. It investigates the divide between vendors that are independently focused on this category – Agility Multichannel, Enterworks, Informatica, Riversand and Stibo Systems – and larger ones that embed it in a business application suite – IBM, Oracle and SAP. A third group including ADAM Software and WebOn specializes in a departmental approach to PIM; these companies also are expanding from their European bases to market and sell in North America. The Value Index analysis identifies two companies, Stibo Systems and Informatica, as the current leaders in PIM; Stibo Systems outscored Informatica by only 0.2 percent. Stibo Systems is rated Hot and ranks first in four of the seven evaluation categories (Usability, Capability, Validation and TCO/ROI); Informatica, also Hot overall, leads in the other three categories (Manageability, Reliability and Adaptability). A primary distinction between the two is that Stibo Systems dedicates its focus to this particular business process and applications while Informatica, through its acquisition of Heiler Software, has integrated PIM software with its own data infrastructure including master data management, data integration, data quality and other key tools. One of the insights resulting from our PIM Value Index analysis is that each of these vendors would benefit from paying attention to the other’s strengths. Agility Multichannel is the third-ranked vendor for PIM, also rated Hot overall. Making advances in Usability, Reliability, Capability, Validation and TCO/ROI and also in Adaptability through an OEM agreement with Pentaho for integration and analytics, it has dramatically improved its offering in the market. Deeper support for commerce also strengthens its independent approach to PIM. A close fourth is Riversand, another Hot vendor, which continues to advance in many of the categories, particularly Usability and TCO/ROI. Enterworks finished a strong fifth and is rated Hot overall. Its recent acquisition by Black Dragon Capital and appointment of a new CEO should bring renewed vigor to its market efforts. SAP, ranked sixth and rated Hot, acquired PIM vendor hybris software and entered the market with new marketing and commerce applications that have embedded product content management. SAP also provides data management and related tools to support PIM. Seventh-place WebOn improved from Warm to Hot overall. It has expanded its efforts to North America and made improvements in Usability; its specialty areas are sales and commerce where PIM is not as easily available or integrated with existing processes and systems. Oracle moved up to eighth place and now is rated Hot. It has improved its PIM offering, particularly in how it supports existing customers and with an interface to applications through its Product Hub and data management technology. Offering PIM independently is its largest challenge, and the Warm rating for Validation and TCO/ROI make it more difficult for potential customers to consider its offering. ADAM Software here makes its initial entry into the Value Index; though it is rated Warm overall, it earned the Hot rating in three categories. It focuses on marketing departments, which often need help in managing product information. Finally, IBM struggles to support PIM as a business application. Its focus is on master data management and associated data integration and quality, and it is rated Warm in support for PIM. The 2015 Product Information Management Value Index has advanced from the previous version in two major respects. First, we increased the specificity of the characteristics we evaluated in Usability, Manageability, Reliability and Adaptability to be able to differentiate the products better. Second, we increased the number of items in the Capabilities section to reflect the growing need for PIM to provide more depth for both business and IT users. This resulted in lower scores for some vendors in some categories, but others made improvements to their products in the past two years. For example, Agility Multichannel’s score rose significantly, but IBM, which has not made much investment to PIM, remained in last place. Other vendors such as Tibco were invited multiple times but did not respond and were left out of the analysis. Other specialized and vertical application providers such as JDA were left out because they did not meet the evaluation criteria. Still other vendors were acquired, such as GXS by OpenText, and became more focused on providing integration technology; lacking a dedicated focus on PIM they were excluded. I urge organizations to do a thorough job of evaluating product information management systems and associated applications, tools and information technology. To help we offer this Value Index as both the results of our in-depth analysis of these vendors and as an evaluation methodology. The Value Index can be used to evaluate existing suppliers and also provides evaluation criteria for new projects; applying it thus can shorten the RFP cycle time. It also will eliminate wasted time in traditional evaluations along with the number of resources required to assess and optimize your product related processes with PIM. Unlike many IT analyst firms that rank vendors from an IT-only perspective, or focus too much on master data management and data infrastructure, Ventana Research has designed the Value Index to provide a balanced perspective of vendors and products that is rooted in an understanding of business drivers and needs. This approach not only reduces cost and time but also minimizes the risk of making a decision that is bad for the business. Using the Value Index will enable your organization to achieve the levels of efficiency and effectiveness needed to optimize product information management. I invite you to learn more about how it can help. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/ventanaresearch_pim_vi_2015.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://marksmith.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Integration of Big Data Involves Challenges", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2014/12/31/integration-of-big-data-involves-challenges", "datePublished": "31/12/2014", "dateModified": "31/12/2014", "articleBody": "Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as I recently pointed out. Our big data integration benchmark research makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative. Furthermore, while many organizations are sophisticated in dealing with the information, they are less able to handle the people-related areas, lacking the right level of training in the skills required to integrate big data. Most said that the training they provide is only somewhat adequate or inadequate. Big data is still new to many organizations, and they face challenges in integrating big data that prevent them from gaining full value from their existing and potential investments. Our research finds that many lack confidence in processing large volumes of data. More than half (55%) of organizations characterized themselves as only somewhat confident or not confident in their ability to accomplish that task. They have even less confidence in their ability to process data that arrives at high velocity: Only 29 percent said they are somewhat confident or not confident in that. In dealing with the variety of big data, confidence is somewhat stronger, as more than half (56%) declared themselves confident or very confident. Assurance in one aspect is often found in others: 86 percent of organizations that said they are very confident in their ability to integrate the variety of big data are satisfied with how they manage the storage of big data. Similarly 91 percent of those that are confident or very confident with their data quality are satisfied with the way they manage the storage of big data. Turning to the technology being used, we find only one-third (32%) of organizations satisfied with their current data integration technology, but twice as many (66%) are satisfied with their data integration processes for loading and creating big data. A substantial majority (86%) of those very confident in their ability to integrate the needed variety of big data are satisfied with their existing data integration processes. Those that are not satisfied said the process is too slow (61%), analytics are hard to build and maintain (50%) and data is not readily available (39%). These findings indicate that making a commitment to data integration, for big data and otherwise, can pay off in confidence and satisfaction with the processes for doing it. Additionally, organizations that use dedicated data integration technology (86%) are satisfied much more often than those that don’t use dedicated technology (52%). New types of big data technologies are being introduced to meet expanding demand for storage and use of information across the enterprise. One of those fast-growing technologies is the open source Apache Hadoop and commercial enterprise versions of it that provide a distributed file system to manage large volumes of data. The research finds that currently 28 percent of organizations use Hadoop and about as many more (25%) plan to use it in the next two years. Nearly half (47%) have Hadoop-specific skills to support big data integration. For those that have limited resources, open source Hadoop can be affordable, and to automate and interface with it, adopters can use SQL in addition to its native interfaces; about three in five organizations now use each of these options. Hadoop can be a capable tool to implement big data but must be integrated with other information and operational systems. Big data is not found only in conventional in-house information environments. Our research finds that data integration processes are most often applied between systems deployed on-premises (58%), but more than one-third (35%) are integrating cloud-based systems, which reflects the progress cloud computing has made. Nonetheless, cloud-to-cloud integration remains least common (18%). In the next year or two 20 to 25 percent of organizations plan additional support for all types of integration; those being considered most often are cloud-to-cloud (25%) and on-premises-to-cloud (23%), further reflecting movement into the cloud. In addition, nearly all (95%) organizations using cloud-to-cloud integration said they have improved their activities and processes. This finding confirms the value of integration of big data regardless of what types of systems hold it. With a growing number of organizations using cloud computing, data integration is a critical requirement for big data projects; more than one-quarter (28%) of organizations are deploying big data integration into cloud computing environments. Because of the intense need of business units and process for big data, integration requires IT and business people to work together to build efficient processes. The largest percentage of organizations in the research (44%) have business analysts work with IT to design and deploy big data integration. Another one-third assign IT to build the integration, and half that many (16%) have IT use a dedicated data integration tool. The research finds some distrust in involving the business side. Almost one in four (23%) said they are resistant or very resistant to allowing business users to integrate big data that IT has not prepared first, and the majority (51%) resist somewhat. For more than half (58%) the IT group responsible for BI and data warehouse systems also is the key stakeholder for designing and deploying big data integration; no other option is used by more than 11 percent. It is not surprising that IT is the department that most often facilitates big data and needs integration the most (55%). The most frequent issue arising between business units and IT is entrenchment of budgets and priorities (in 42% of organizations). Funding of big data initiatives most often comes from the general IT budget (50%); line-of-business IT budgets (38%) are the second-most commonly used. It is understandable that IT dominates this heavily technical function, but big data is beneficial only when it advances the organization’s goals for information that is needed by business. Management should ensure that IT works with the lines of business to enable them to get the information they need to improve business processes and decision-making and not settle for creating a more cost-effective and efficient method to store it. Overcoming these challenges is a critical step in the planning process for big data. My analysis that big data won’t work well without integration is confirmed by the research. We urge organizations to take a comprehensive approach to big data and evaluate dedicated tools that can mitigate risks that others have already encountered. Regards, Mark Smith CEO and Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_bdi14_performance_01_overall.gif", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://marksmith.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "The Future of Integrating ERP and Applications in the Cloud", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2014/07/31/the-future-of-integrating-erp-and-applications-in-the-cloud", "datePublished": "30/07/2014", "dateModified": "30/07/2014", "articleBody": "In recent years line-of-business applications including accounting, human resources, manufacturing, sales and customer service have appeared in the cloud. Cloud -based software as a service (SaaS) has replaced on-premises applications that were previously part of ERP and CRM environments. They have helped companies become more efficient but have also introduced interoperability challenges between business processes. Their advantage is that cloud software can be rented, configured and used within a day or week. The disadvantage is that they don’t always connect with one another seamlessly, as they used to and when managed by a third party there is limited connectivity to integrate them. Smooth interoperation is critical for business processes that use ERP. The hybrid computing approach to ERP was assessed by my colleague Robert Kugel, who identified the challenges in these early approaches to ERP in the cloud. As on-premises ERP, these applications were fully connected and integrated with process and data integration wired together through additional technologies. This configurability of ERP has been a large challenge and has led to failed implementations, as Robert noted. Understanding the complexities of ERP today is key to coming up with a solution. One of the most fundamental business processes in organizations is tracking an order to fulfillment. That needs to be connected without manual intervention for transactional efficiency and to ensure data, analytics and planning are available. In fact our next generation of finance analytics benchmark research finds that ERP is the second-most important source of data being analyzed, after spreadsheets, and is the first-ranked source in almost one-third (32%) of organizations. In the transition to cloud computing this has become more complex. Applications that support the order-to-fulfillment process, for example, are increasingly being used individually in cloud computing, and many are being mingled with on-premises applications that require integration and automation to avoid manual intervention. To start, orders are created by sales. Sales opportunities are created and closed with products and services purchased by contract or electronically. These must be placed in an order management system through which the record can be used by a multitude of systems and processes. Purchasing and fulfillment details are moved into an invoice as part of a billing application, then entered into accounting and accounts receivable where it is managed to payment. Finance takes orders and consolidates them into reports, typically in a financial performance management system. The order is then provided to manufacturing or fulfillment applications which build and deliver products, then fulfilled through warehouse and distribution management. The customer name and order number is also placed into an application that handles support calls or deploys services. This is the reality of business today. Many departments and individuals, with different applications, are needed to support orders, fulfillment and service. If these applications are not connected organizations have to perform manual intervention, re-enter data, or copy and paste, which not only wastes time and resources but can introduce errors. Half (56%) of organizations do the integration through spreadsheets or exporting data, with custom coding being second-most popular (for 39%), according to our business data in the cloud research. (I will leave HR applications and the supporting people component out of this process though they play a critical role as an enterprise resource to support the order-to-fulfillment process and are part of many ERP deployments.) In addition performing any level of business planning is not simple as data is needed to determine past performance and plan for the future. There is no simple way to make all this efficient. It has historically been managed by ERP, usually through a single vendor’s application suite. Now businesses want it done in the cloud, either on-premises or through other cloud applications. Proper attention must be paid to the needs and competencies of the departments and business processes involved. Thus migration and transition to ERP are not simple, nor is building an application architecture that supports process and data efficiently. Assessment and planning are necessary to ensure that risks are addressed. Switching to a new ERP system in the cloud will still require an application architecture to maintain proper operations across departments and existing applications, whether they are on-premises, in a private cloud, in the public cloud or in a hybrid combination. This integration among sales force automation, customer service and other systems is outside the scope of most cloud ERP deployments who have not provided the most robust integration points for the applications and data. Robert Kugel writes that ERP must take a giant leap in order to operate in the cloud. I agree. Our firm often gets requests for assistance in finding the right approach to ERP and business process. While midsize companies find ERP in the cloud increasingly attractive, there are significant challenges to adapting and integrating such applications as part of business processes, which many customers overlook in their desire for a cloud-based solution. The majority of cloud ERP vendors have not provided integration and workflow of information from their applications to others in an open and seamless manner, complicating deployments and adding unexpected costs for customers. ERP suppliers moving from on-premises to cloud computing have acknowledged the complexities. Many of the legacy ERP vendors have struggled to enable application interoperability and the differing management requirements of IT and business. This struggle has resulted in a lack of confidence by organizations wishing to migrate to ERP in the cloud and makes them wonder whether to look at alternative approaches with individual applications using integration across them and data to support business processes. Automation is another major concern. The lack of it across business processes has impeded finance groups in closing the books efficiently; our research on the fast, clean close shows many organizations losing four or more days. In the meantime technological advances in integration technologies that operate in the cloud computing environment can interconnect with on-premises systems. The ability to simultaneously distribute transactions and data across systems makes the ability to architect business processes and workflows a reality. For some organizations the use of business process management and other integration technology approaches are being adopted. The new technologies are able to blend into many applications, so that users do not know they are working on applications from different vendors, nor do they need to know. These advances enable application architecture to interoperate and automate the flow of data from on-premises and cloud computing environments, providing new opportunities to interoperate from ERP or other applications. Many organizations are doing this today, and more than one-third of companies are planning or need to move data from cloud to cloud, cloud to on-premises or on-premises to cloud, data according our business data in the cloud research. No matter whether a company is in manufacturing or services, they must address the integration complexities to gain efficiency and support growth without adding more resources. While many new ERP providers in the cloud are taking simpler approaches from the applications interface to how it processes transactions, most have not learned the importance of integration to other systems and the need for accessing and integrating data for transactions and analytics. Having consistency of data across applications and systems is a major obstacle in more than one-fifth (21%) of organizations and a minor obstacle in two-fifths (43%), and they find similar difficulties in the complexities of accessing data, according to our business data in the cloud research. In addition they lack effective planning (which of course is the P in ERP), and reporting is less than sufficient and often must be complemented by third-party tools. All this introduces yet more complexity for business and IT in determining how they can move forward with ERP in the cloud, adapting existing and new applications to interoperate. The outlook for ERP in the cloud is thus uncertain. If these vendors do not adapt to the reality of what their customers want (as opposed to what they want their customers to do), it will remain cloudy. Responding to pressure to take an open approach that is easy to integrate, however, ERP providers could see a sunny forecast. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr-bug-web1.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://marksmith.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Informatica Unveils New Platform and Tools for Information Optimization", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2014/06/03/informatica-unveils-new-platform-and-tools-for-information-optimization", "datePublished": "03/06/2014", "dateModified": "03/06/2014", "articleBody": "At the Informatica World 2014 conference, the company known for its data integration software unveiled the Intelligent Data Platform. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to position its products as capable of more than data integration. A large part of the value it provides lies in what its products can do to help organizations strengthen their enterprise architectures for managing applications and data. We see Informatica’s sweet spot in facilitating efficient use of data for business and IT purposes; we call this information optimization. Informatica’s Intelligent Data Platform is built in three layers. The bottom layer is Informatica Vibe, the virtual data machine that I covered at its launch last year. Informatica Vibe won our Ventana Research 2013 Technology Innovation Award for information optimization. It virtualizes information management technology to operate on any platform whether on-premises or in any form of cloud computing. Above Informatica Vibe in the platform is a data infrastructure layer, which contains all the technologies that act upon data, from integration through archiving, masking, mastering, quality assurance, security, streaming and other tasks. At the core of this second layer is Informatica PowerCenter, which provides data integration and other capabilities central to processing of data into information. PowerCenter provides parsing, profiling, joining and filtering but also is integral for data services through Informatica’s Data Integration Hub that operates in a publish-and-subscribe model. The latest PowerCenter release, version 9.6, focuses on providing agility in development and provides a series of packaged editions that provide certain levels of functionality; users choose among them to fit their requirements. This developer support includes advances in test data management and data masking for enterprise-class needs. There are editions for Informatica Data Quality, too. The latest release of Informatica MDM, 9.7, improves the user experience for data stewards along with enhanced performance and governance. Not much was mentioned at the conference about Informatica’s Product Information Management (PIM) offering that our most recent Value Index vendor and product assessment rated Hot. The third layer is data intelligence. Here Informatica has added capabilities to organize, infer and recommend action from data and to provision and map data to business needs. In addition Informatica’s Business Glossary and Metadata Manager help establish consistent definitions and use of data for operational or analytical tasks. Informatica RulePoint, a product that also was not mentioned much at the conference, processes events through workflow in a continuous rule based manner; depending on how processing occurs, its function is to support complex event processing or event streaming. On top of the Intelligent Data Platform, Informatica has added a couple of new innovations. Project Springbok, which is not yet released, is a tool for preparation of data for analytics and operations through its Innovation division. This new product will use Informatica’s expertise in providing access to and integration of data sources, which according to our information optimization benchmark research is the top analyst requirement in 39 percent of organizations. Despite data warehouse efforts, analysts and business users still have to access many data sources. Simplifying information is critical for nearly all organizations that have more than 16 data sources. Demonstrations showed that Springbok can dynamically create and automate the transformations that run in PowerCenter. It also offers access to a master reference to ensure that data is processed in a consistent manner. IT professionals gain visibility into what business units are doing to show how they can help in provisioning data. Even in beta release Springbok has significant potential to address the range of data issues analysts face and reduce the time they spend on data-related tasks. Our research has shown for several years that this data challenge presses organizations to diversify the tools they use, and software vendors in this market have responded. Informatica will have to compete with more than a dozen others and demonstrate its superiority for integration. Our research finds that the lines of business and IT now share responsibility for information availability in 42 percent of organizations. Informatica will have to demonstrate its value to line of business analysts who are evaluating a new generation of tools for data and analytics. A second innovation is a new data security product called Secure@Source, also being developed in the Innovation unit, is designed to protect data assets where they are stored and processed. This product moves Informatica into the information security market segment. Secure@Source helps users discover, detect, assess and protect data assets in their persistent locations and during consumption by applications or Internet services. The question is whether Informatica can convince current customers to examine it or will have to approach information security professionals who are not users of Informatica. Security of data is among the top five required data activities according to our research and a key part of the manageability requirements that organizations find important in considering products. Informatica has an opportunity to insert itself into the dialogue in this area if it properly presents the new product to IT and business people alike. In big data Informatica has made steady progress, but to reach its potential in this segment will require more investments in the mixed big data environments, not just Hadoop. As our research has shown for three years, customers want big data to distribute processing and integration of data across sources. Our recent research on big data analytics finds that three out of four (76%) define big data analytics as being about accessing and analyzing all sources of data. This poses a challenge for data integration, and our new research on big data integration finds that most have a long way to go in accessibility and mastering of data. Informatica begins to address this and has an opportunity in helping develop a new generation of data architecture. In cloud computing, the company has consolidated its efforts to ensure that the cloud is part of its core technology. It released new versions for its cloud-based integration, quality, master and real-time data management products; these begin to address the challenge of process and application integration, which are important considerations for businesses in determining whether integrate or replace point cloud solutions to improve efficiency of tasks and business processes. Informatica has continued to focus on integrating mostly with the large cloud computing providers and has yet to invest in streamlining processes in particular lines of business. This has left openings for other cloud integration providers to compete, making it harder than expected for Informatica to dominate in this segment. The next step here is up to Informatica. I believe that one of the highest potential opportunities for Informatica is in the application architectures of organizations whose business processes have been distributed through a collection of cloud-based applications that lack interconnectivity and integration. For example, finance departments often have software from different providers for budgeting and planning, consolidation and reporting, accounting and payroll management. When these applications are spread across the cloud, connecting them is a real challenge, let alone trying to get information from sales force automation and customer service applications. The implications of this are shown in our finance analytics research : Data-related tasks consume the most time and impede the efficiency of financial processes as they do in all other line of business areas that we have researched. Similar situations exist in customer-related areas (marketing, sales and customer service) and employee management processes (recruiting, onboarding, performance, compensation and learning). Informatica has made progress with Informatica Cloud Extend for interconnecting tasks across applications, which can help streamline processes. While perhaps not obvious to data integration specialists, this level of process automation and integration is essential to the future of cloud computing. Informatica also announced it will offer master data management in the cloud; this should help it not just to place a data hub in the cloud but to help companies interoperate separate cloud applications more efficiently. Overall the Informatica Intelligent Data Platform is a good reference model for tasks related to turning data into information assets. But it could be much distinct in how its automation accelerates the processing of data faster and helps specific roles work faster and smarter. This platform does not provide a context for enterprise architectures that are stretched between on-premises and various cloud deployments. Organizations will have to determine whether Informatica’s approach fits their future data and architectural needs. As Informatica pushes its platform approach, it has to ensure it is seen as a leader in big data integration, helping business analysts with data, supporting a larger number of application sources and connecting cloud computing through unifying business applications. This won’t be easy to accomplish as Informatica has not been as progressive in the broader approach to big data and use across operations and analytics. Informatica has been growing substantially and is getting close to US$1 billion in annual software revenue. We have recognized its success through rating it a Hot vendor in our Data Integration Value Index and naming one of its customers, the CIO of UMass Memorial Health Care, the Chief Information Officer in our 2013 Leadership Awards. Informatica has been continuing substantial investment in R&D. Its acquisitions of data-related software companies have helped it grow, and Informatica has invested to integrate the products with PowerCenter. With almost half (49%) of organizations planning to change their information availability processes, the opportunity for Informatica is significant; its challenge is to gain the confidence and recognition by business customers, who now play a larger role in the selection and purchasing of software. This will require Informatica to speak their language of business and not just technology but the business processes that they are held accountable. Informatica is a major player in information management; now it must become as significant a choice for streamlining business processes and use of applications and data across the enterprise and cloud computing to enable information optimization. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/ventanaresearch_techinnovation_award_winner_2013.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://marksmith.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "SAS Unifies Big Data for Business and IT", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2014/03/12/sas-unifies-big-data-for-business-and-it", "datePublished": "12/03/2014", "dateModified": "12/03/2014", "articleBody": "Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is SAS Institute. I recently attended the company’s annual analyst summit, Inside Intelligence 2014 (Twitter Hashtag #SASSB). SAS reported more than $3 billion in software revenue for 2013 and is known globally for its analytics software. Recently it has become a more significant presence in data management as well. SAS provides applications for various lines of business and industries in areas as diverse as fraud prevention, security, customer service and marketing. To accomplish this it applies analytics to what is now called big data, but the company has many decades of experience in dealing with large volumes of data. Recently SAS set a goal to be the vendor of choice for the analytic, data and visualization software needs for Hadoop. To achieve this aggressive goal the company will have to make significant further investments in not only its products but also marketing and sales. Our benchmark research on big data analytics shows that three out of four (76%) organizations view big data analytics as analyzing data from all sources, not just one, which sets the bar high for vendors seeking to win their business. In the last few years SAS has been investing heavily to expand its portfolio in big data. Today its in-memory infrastructure can operate within Hadoop, execute MapReduce jobs, access the various commercial distributions of Hadoop, conduct data preparation and modeling in Hadoop and extend it to its data and visual discovery and exploration tools. SAS has architected its analytics tools and platform to use Hadoop’s Pig and Hive interfaces, apply MapReduce to process large data sets and use Hadoop Distributed File System (HDFS) to store and access the big data. To exploit Hadoop more deeply, the SAS LASR Analytic Server (part of SAS Visual Analytics) connects directly to HDFS to speed performance. SAS LASR Analytic Server is an in-memory computing platform for data processing and analysis that can scale up and operate in parallel within Hadoop to distribute the computation and data workloads. This flexibility in the architecture enables users to adapt SAS to any type of big data, especially Hadoop deployments, for just about any scale and configuration. To work with other database-oriented technologies the company has built technical partnerships not only with major players Teradata and SAP but also with the new breed of Hadoop vendors Cloudera, Hortonworks and Pivotal, as well as with IBM BigInsights. SAS also engineered access to SAP HANA, which establishes further integrated into SAP’s data platform for analytics and other applications. At the Inside Intelligence gathering, SAS demonstrated its new Visual Statistics product. Like its Visual Analytics this one is available online for evaluation. It offers sophisticated support for analysts and data professionals who need more than just a visually interactive analytic tool of the sort that many providers now sell. Developing a product like Visual Statistics is a smart move according to our research, which finds that predictive analytics and statistics is the most important area of big data analytics, cited by 78 percent of organizations. At this point visual and data discovery are most common, but we see that users are looking for more. SAS Visual Statistics can conduct in-memory statistical processing and compute results inside Hadoop before the data is transferred to another analytic data repository or read directly into an analytics tool. A demonstration of these capabilities at the analyst summit revealed how these capabilities along with the use of tools in SAS 9.4 could raise the bar for sophisticated analytics tools for business. SAS also has a data management software suite for data integration, quality, mastering and governance and is working to make the product known for its big data support. This is another important area: Our research in big data analytics finds quality and consistency of data to be significant challenges for 56 percent of organizations and also that 47 percent are not satisfied with integration of information for creating big data analytics. SAS is expanding to provide data quality tools for Hadoop. Its portfolio is expansive in this area, but it should take steps to market these capabilities better, which spokespeople said it will do in 2014. Our recent research in information optimization found that organizations still are spending disproportionate amounts of time in preparing data (47%) and reviewing it (45%) for analytics. They need to address these difficulties to free their analysts to spend more time on analysis that produces recommendations for decision-makers and to collaborate on business improvement. SAS’s efforts to integrate data and analytics should help reduce the time spent on preparation and help analysts focus on what matters. SAS also will expand its SAS Stream Processing Engine with a new release coming by midyear. This product can process data as it is being generated, which facilitates real-time analytics – that’s the third-most important type of big data analytics according to our research. Applying analytics in real time is the most important aspect of in-memory computing for two-thirds (65%) of organizations and is critical as SAS expands its SAS LASR Analytic Server. Our benchmark research on operational intelligence shows that the processing of event data is critical for areas like activity or event monitoring (said 62% of participants) and alerting and notification (59%). SAS will need to expand its portfolio in these areas but it is fulfilling on what I call the four types of discovery for big data. SAS also is moving deeper into cloud computing with support for both private and public clouds through investments in its own data centers. Cloud computing is an increasingly popular approach to building a sandbox environment for big data analytics. Our research finds that more than one-fifth of organizations prefer to use cloud computing in an on-demand approach. SAS will have to provide even more of its portfolio using big data in the cloud or risk customers turning to Amazon and others for processing and potentially other computing uses. SAS asserts it is investing and expanding in cloud computing. SAS’s efforts to make it easier to work with big data and apply analytics is another smart bet; our research finds that most organizations today don’t have enough skilled resources in this area. One way to address this gap is to design software that is more intuitive, more visual and more interactive but sophisticated in how it works with the primitives of Hadoop; SAS is addressing this challenge. Our research finds growth of in-memory (now used by 42%) and Hadoop (50%) technologies, which will have more impact as they are applied directly to business needs and opportunities. SAS is at the intersection of data management and analytics for big data technologies, which could position it well for further growth in revenue. SAS is betting that big data will become a focal point in many deployments and they can help unify data and analytics across the enterprise. Our research agenda for 2014 finds this to be the big opportunity and SAS is fixated on being the vendor of choice for it. If you have not examined how SAS can connect big data architectures and facilitate use of this important technology, it will be worth your time to do so. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_big_data_analytics_02_defining_big_data_analytics-1.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://marksmith.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Big Data Offers Business Opportunity for Information Optimization in 2014", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2014/01/27/big-data-offers-business-opportunity-for-information-optimization-in-2014", "datePublished": "27/01/2014", "dateModified": "27/01/2014", "articleBody": "Businesses are always looking for ways to grow and to streamline their operations. These two goals can come into conflict because as organizations become larger it becomes more complicated to be agile and efficient. To help them understand and modify their processes, businesses can derive insights from analytics applied to their data. Today that data is available not only in the enterprise and cloud computing environments but also from the Internet. To collect, process and analyze it all is a challenge, one that an increasing number of organizations are meeting through the use of big data technologies. The resulting insights can help them make strategic business decisions such as where to focus efforts and how to engage with customers. At Ventana Research we have been working hard to understand the advancing technology that supports big data and its value through information optimization and bring clarity to the industry through our research and analysis of trends and products. There are many opinions about big data and fixation on the attributes of it through the V’s (volume, variety and velocity) and how to use it, often biased toward one technology or vendor; our research and analysis of the entire market cuts through the noise to provide not just facts but insights on best practices and methods to apply this technology to business problems. There’s no doubt that big data can help organizations turn their information assets into insights that are critical for achieving growth and interacting more successfully with customers. It can help them access and integrate information for business use in ways that were not possible before. Among these new methods are simpler ways to access and consume information, including search based on natural language and cognitive computing, which is bringing forward advanced science to the processing of information. Big data also enables more effective visualization to support discovery and exploratory analytics. Machine data can be used to gain insights into the workings of technology that directly impacts the operations of the organization. We assert that big data drives operational efficiency through effective processing technology that expands the use of information though analytics and these innovative computing methods. The importance of these advances is shown in our recent benchmark research on information optimization, in which two-thirds (67%) of organizations said that improving operational efficiency is the leading reason to change how they make information available. In 2013, large steps forward were made in big data technology. We saw the beginning of convergence among technological approaches as Hadoop, in-memory processing and data appliances intersect with specialized and traditional database systems. Users are learning how to gain value through insights from these technology investments. While we saw advances in visualization as shown in our predictive analytics research, using most of these tools requires advanced skills to ensure that the data is interpreted properly for facilitating actions, let alone decisions. Many organizations lack these skills in-house, our research shows. Thus one challenge for 2014 is to acquire the competencies needed to get the best possible information from big data. Another is to improve processes for information optimization so that data, even about real-time events, can flow to business users and reduce the time it takes for them to use it effectively. New platforms and services can help make more types of information easier to understand and interact with. This is complemented by collaboration tools that can operate across mobile devices and get more information to more people wherever they are. We note also that unstructured data such as documents, images and text now is part of the information requirements for more than half of organizations that could use big data technology. All of these tools and efforts towards information optimization can be useful as organizations try to improve the consistency and governance of their business-related information assets in key areas such as product information management and reduce duplication and conflicts in information about customers and employees along with focus on governance, risk and compliance (GRC). Failing to address these issues can lead to lost revenue, dissatisfied customers and decreased efficiency, all of which impact profitability. Our focus on product information management will continue as it is in high demand: We will release a new Value Index on the topic in 2014 to assess vendors and products and guide potential purchasers. There also have been advances in applications to help businesses manage information; for example, the use of master data management and data governance can help increase accuracy and outcomes from related business processes. In 2014 we will assess the current market for master data management as it impacts both business and IT through new benchmark research and continued coverage of technology developments. Because data no longer resides only in the enterprise, we will continue to track advances in using cloud computing for business applications and accessing and integrating the large amounts of data there. Cloud data is now a major factor in many organizations, and we will reassess the challenges with data in the cloud benchmark research to determine where investments and processes have progressed and where they still need to be improved. Mainstream use of big data is leading organizations to invest in creating a new stream of information processes that can meet a variety of business needs. We have a whole line of new next-generation analytics research in the specific lines of business; the first are for finance, customer and human capital, and other areas planned for 2014 are in sales and marketing, which are still in the early adoption phase of big data but have generated significant interest about its potential. Organizations have several options in the types of big data technology they choose. Some are using Hadoop and commercial versions of it from a variety of providers, others are using big data appliances, and still others are using in-memory computing and specialized databases. Our latest research finds that in 2014 more organizations plan to use Hadoop (24%), in-memory tools (23%) and appliances (15%) than will use an RDBMS (10%). This variety of technologies is generating new best practices in big data and how to use the resulting information. Big data is a critical innovative technology now important to 41 percent of organizations. Please consult my colleague Tony Cosentino’s research agenda in business analytics and big data, which outlines new methods to discover and explore big data effectively; he also has new research coming on big data analytics. It is now possible for organizations to learn and apply best practices in using big data effectively across business and IT. Once that is accomplished users can examine how to make information flow easily into applications and optimize their use, too. At this point, however, many have yet to focus on integration of data and sources to ensure an efficient flow both in the enterprise and throughout cloud computing. This challenge we call big data integration, and we are conducting new research to identity the issues, methods and best practices here. Our research shows that for more than four out of five organizations that have 16 or more sources of data it is important to simplify access and use of it all and integration will help address this challenge. This year we will also have our annual Value Index on vendors and products in data integration and will expand to include the requirements for big data and cloud computing. The availability of technology for data integration is fueling new efforts in what I call integration optimization, which even includes handling of real-time event streams in complex event processing to produce operational intelligence. We have research on this and an upcoming Value Index. Use of this real-time information and analytics is helping organizations respond to issues more quickly than waiting for historical analysis to take place. We expect significant advances in big data and information optimization in 2014. In this market, however, most organizations lack experience and skilled resources. We warn them not to investigate big data just because “everyone is doing it.” That is not necessarily true, so we recommend first reviewing the processes in your organization in which it can provide value, and then look at the architectural and technological approaches that best fit your needs and available resources. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/ventana_research_benchmark_research_logo.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://marksmith.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "IBM Bets a Billion to Mobilize Watson Business Unit and Monetize Cognitive Computing", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2014/01/13/ibm-bets-a-billion-to-mobilize-watson-business-unit-to-monetize-cognitive-computing", "datePublished": "13/01/2014", "dateModified": "13/01/2014", "articleBody": "With much fanfare and a rarely seen introduction by CEO Ginni Rometty, IBM launched IBM Watson as a new business unit focused on cognitive computing technology and solutions, now being led by Senior Vice President Mike Rhodin. The announcement is summarized here:. Until now IBM Watson was important but had neither this stature in IBM’s organizational structure nor enough investment to support what the company proclaims is the third phase of computing. As IBM tells it, computing paradigms began with the century-old tabular computing, followed by the age of programmatic computing, in which IBM developed many products and advancements. The third phase is cognitive computing, an area in which the company has invested significantly to advance its technology. IBM has been on this journey for some time, long before the IBM Watson system beat humans on Jeopardy!. Its machine-learning efforts started with the IBM 704 and computer checkers in the 1950s, followed by decades of utilizing the computing power of the IBM 360 mainframe, the IBM AS/400, the IBM RS/6000 and even IBM XT computers in the 1980s. Now IBM Watson is focused on reaching the full potential of cognitive computing. If IBM is right that cognitive computing will be the next wave of innovation in the industry and a new phase of computing, it has placed itself at the center of a substantial new market opportunity. Even at the most basic level to simplify the process of making information more available is what IBM Watson provides and our information optimization research finds is very important to 65 percent of organization. The company says it has invested $1 billion and placed up to two thousand skilled people in the new business unit. It also is spending $100 million on the incubation of companies that are building on the Watson platform, and has a new and dedicated building in Lower Manhattan, known as Silicon Alley, its focal point for cognitive computing ideas that IBM has unveiled to the public. There is no question that IBM Watson is innovate as we recognized in 2012 as being the recipient of our overall operation innovation technology innovation award. These recent actions build on IBM’s announcement last fall that it is commercializing IBM Watson to enable developers and partners to innovate on the platform. Its launch of the IBM Watson Developers Cloud marketplace introduces new offerings and content essential to building its ecosystem of resources to meet existing and future demand for applications of cognitive computing. The step is essential in that it will maximize the number of products using IBM Watson and provide IBM with a springboard to exponentially grow its efforts. At the same time, IBM is working with academic institutions IBM’s announcements included new products to complement the IBM Watson portfolio and give it a broader footprint and value to customers. The first new product announced is IBM Watson Discovery Advisor, a tool that helps pharmaceutical companies plow through massive volumes of big data. This is a good place to start, as harvesting the right information for specific roles and purposes is the foundation of cognitive computing, enabling organizations not just to access information but to synthesize it. The next announcement was IBM Watson Analytics, a product previously known as Project Neo and introduced to the market last fall, which my colleague Tony Cosentino covered. Incubated in IBM’s business analytics group and using a spectrum of analytic and discovery technology, the product and people who worked on it and other efforts are being transferred to the IBM Watson business unit. Though it was not initially built for IBM Watson today, the discovery and exploratory technology integrates the pillars of analytics, helping facilitate a knowledge discovery process whereby you can explore data through natural language and discover new insights. The move to shift IBM Watson Analytics was unexpected and introduces new pressure to market and sell the product. It has growing potential for line-of-business analysts, who will want to examine this and other tools from IBM’s business analytics group. Only time will tell if IBM will be able to fully monetize the product’s potential through its IBM Watson effort, but the move could be its short-term method to gain customers and revenue. It definitely will be a complement when it interfaces to IBM Watson and utilizes the knowledge that Watson creates. The next major product announcement was IBM Watson Explorer, a big data analytics tool that enables collaborative discovery, navigation and search across information in applications. Both analytics tools advance the science of big data technologies but focus on more than just the mechanics of what big data does, as described by the “four V’s”: volume, variety, velocity and veracity. Rather, they address the value of what is possible through the so-called W’s, focusing on the who, what, where, when and why. This is what we call information optimization, facilitating the business potential of not just big data but of cognitive computing. For its part, IBM is applying its big data and information management efforts to IBM Watson, categorizing them as IBM Watson foundations. This is critical as our information optimization research finds that organizations do not have enough capabilities to integrate and normalize information from disparate sources as the largest shortcoming of technology in 45 percent of organizations. By integrating and utilizing these big data and business analytics tools as part of IBM Watson, cognitive computing will from a competency perspective be more advanced even if these products are not directly needed for enabling IBM Watson. With this much at stake IBM was not going to leave customer endorsements to chance, and while it has taken some criticism that customer commitment might not be as high as it has claimed, that question was answered at the IBM Watson event. For one, the medical and healthcare industry was front and center to validate its commitment to IBM, represented by organizations such as the Cleveland Clinic and Memorial Sloan-Kettering Cancer Center. Most interesting was an early peek at the potential of mass consumerization of IBM Watson. The first example was presented by e-commerce facilitator Fluid: Its Fluid XPS is focused on changing the digital experience of consumers by gaining access to information about their needs for products and services in a holistic manner. The example it promoted cold weather gear for camping by asking a question as a front end to the North Face website. A second example was the potential to have IBM Watson be the natural language interface for finding a vacation destination, specifying certain criteria like class, price, type and climate of location; today this requires repetitive tasks such as filling out forms and making your own comparisons to determine where you want to go and for what price. The concept was presented by Terry Jones, the former CEO of Sabre and Travelocity and chairman of Kayak. He has more than 40 years of experience in the travel industry and now consults about business innovation through his company, called Essential Ideas. IBM also demonstrated how cognitive computing can provide the next generation of marketing can synthesize the interactions and psychology of individuals to more effectively market to them. These examples point to the potential of enabling natural-language recognition technology to discover relevant responses that guide users’ actions and decisions. As part of my analysis over the past couple of years, I’ve been following this step forward and wrote about the new category of cognitive computing. In 2013, IBM brought forward IBM Watson Engagement Advisor and focused on smarter customer service through a simpler engagement approach to improving the customer experience, a topic my colleague Richard Snow has assessed. This effort by IBM is as our customer engagement research has found is centered on improving the customer experience as found in 74 percent of organizations. I have also seen IBM demonstrate similar solutions for employees and managers as part of human capital management. More important, these solutions embrace mobile computing whereby devices can be used as input and response tools anywhere, at any time which our research finds smartphones accessible to be used in 73 percent of organizations according to our information optimization research. Intellectually, IBM continues to advance its research and scientific developments to ensure that it can transition its work into products that customers can use. At the launch of the IBM Watson business unit, IBM Research’s Dr. Guruduth Banavar brought forward some of the latest thinking on cognitive science and the ability to teach machines to reason and what is called neurosynaptics, a discussion that is available on IBM Research’s cognitive computing page. The material is fascinating; it provides insight on the future of computing and how it will impact roles and businesses in the next decade. As it begins to scale its offering, part of IBM’s challenge is to manage the continuous information feeds that effectively make IBM Watson smarter. While IBM does not talk much about the content aspects of what is required, it is clearly more than just loading files, and these efforts are just as important as librarians are to libraries, whereby they are not just stewards to a collection of books but ensure the value and improvement of the library. There is still a level of mystery on the technical mechanics and readiness of the platform that the company needs to address before the natural-language interface is ready to work its magic. In addition, IBM is still using a natural-language form of text and working through how it can make voice mainstream with IBM Watson, as Apple and Google and others have done. IBM has been working on speech in research for some time and more recently with Nuance, who IBM announced a partnership with back in 2011, but it has yet to demonstrate this capability to the mainstream public, which indicates hesitation on how fast it plans to use voice and speech as the interface. While IBM was not able to fully monetize its early efforts in speech technology, it is now becoming mainstream in the consumer market but has yet to evolve significantly in the business markets as part of enterprise software. I am looking forward to seeing more of what it can do in terms of voice and speech input and Watson talking iteratively to help expedite what is truly natural language for humans. IBM does not often create new business units and elevate them to this level of commitment and investment for the future. While the business goals for IBM Watson are lofty from both revenue and computing perspectives, no other company – not even Microsoft, Oracle or SAP – has both the established technology foundation and the people and financial resources that IBM has to make this a reality. IBM should be congratulated for making the investment in cognitive computing and helping create new jobs and opportunity that will incubate not just in Silicon Alley but across the globe as others realize the full potential. Our technology innovation research finds that increasing the value of an organization is very important to over half (56%) of organizations which is exactly what IBM is hoping will increase its business opportunity. If you want to catch up on the dialogue and resources related to this topic, you can search #IBMWatson on Twitter and follow @IBMWatson. If you want to learn more about IBM Watson and cognitive computing, go to www.ibm.com/watson and you will find more information about the technology, our research on the topic and the value of this new computing paradigm. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_techaward_winner-1.jpg", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://marksmith.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Research Agendas for 2014: Optimizing the Use of Technology for Business", "mainEntityOfPage": "https://marksmith.isg-research.net/2014/01/08/research-agendas-for-2014-optimizing-the-use-of-technology-for-business", "datePublished": "08/01/2014", "dateModified": "08/01/2014", "articleBody": "Greetings, everyone, and best wishes for a great start to 2014. In this new year, utilizing best practices and skills learned in 2013 will be critical for optimizing the use of efforts to support both business and IT. In 2013 many organizations made progress in balancing technology decisions across business and IT as the lines of business continued to take leading roles in investment and prioritization. Major investments were made in business applications using software as a service, business analytics and mobile computing applications. In some other areas of innovation, particularly big data and social collaboration, deployments are just beginning to happen and a significant amount of projects are in experimental and proof of concept than enterprise use. As usual, there was no shortage of diatribes from technology suppliers. Gamification and virtualization were loudly touted, but the most exaggerated were variations on the “Internet of things,” which at times seemed to include, well, anything found anywhere on the Internet. Beneath the hype, however, is something very real: the need to interconnect people across the Internet and the enterprise more seamlessly and in ways that would have seemed futuristic not long ago. All this is having an impact on the IT function. As many of these technology innovations are becoming part of business, IT is beginning to be become more aligned to what the business needs now and in the future, backing off from making assumptions about what is needed. Savvy IT pros, from the CIO down, realize that If business decision-makers are not convinced IT will make such an alignment, they will insist on going their own way and not only spend what they believe is required to improve operation of the business processes they are held accountable for, but also invest in areas that they believe will give them a competitive edge and lead to the best outcomes for their areas of responsibility. This sets the stage for our focus in the new year. Building on our work in 2013, we have set our 2014 research agenda, which is geared toward helping you figure out what makes most sense in the new landscape. Using our market research approach based on proven methodologies, we will provide a new generation of insights on how to get the best use of technology to support business and IT. I hope that you will look to us for the research facts and analysis that inspire you to make decisions based on a balanced perspective for both the business and IT sides. Don’t let your direction be skewed by advice from only an IT or a technology perspective; instead, make sure it is based on perspectives that are relevant to your business areas and the demands of your industry. Without this balanced approach you risk taking the wrong path, wasting time and valuable resources and lengthening the time to value in your markets. To get a balanced perspective on a variety of critical business concerns, you can dive into our research agendas and through our announcement of them. Here’s a snapshot of them. In the overall area of technology innovation for business and IT, our research agenda for 2014 provides guidance to help organizations realize the potential of technology in the critical areas of big data, business analytics, cloud computing, mobile technology, social collaboration and social media. Our benchmark research shows that in each of these areas organizations made significant strides in 2013 in terms of maturity in their deployments and use; we recognized a number of them in our annual awards program for top technology suppliers and organizations across business and IT. The most powerful outcome of these technologies is when they are blended together to meet specific business needs in innovative and transformative ways. For the Office of Finance, new research in long-range planning and finance analytics will provide a strategic guide on what it needs to drive the best success from its efforts. Not only does Finance maintain a leadership position for its own processes, but it increasingly provides leadership and guidance for human resources and IT as well as assistance to sales, marketing, customer service, the supply chain and other areas that are key to the operations of a corporation. With a full review of financial management vendors in our Value Index, we will bring a deeper assessment of applications for finance and business planning. Our Office of Finance research agenda for 2014 not only focuses on some key points in the areas of financial management and next generation of business planning but also on pricing, profitability and even taxation, areas that are sometimes lost when suppliers talk about ERP solving every business problem – which it does not. New research on the overall direction of the office of finance will bring a reality check to what finance is investing upon in regards to technology and business processes that meet their specific needs. Be sure to follow the astute analysis of trends and markets by Robert Kugel, our senior vice president of research. Another top priority is utilizing people effectively, a critical aspect of every business requiring investments in human capital management that enable organizations to effectively recruit, engage and retain quality workforce with the best possible employee experience. Organizations cannot just overhaul traditional HR technologies – they must also integrate talent management for salary workers and workforce management for hourly workers to ensure that the entire workforce operates efficiently and that the investments made reach their full potential. HR, an early adopter of cloud services, is now in a transition period in which it needs to unify the myriad applications it has rented. In many cases this means consolidating suppliers to get a more cohesive and streamlined view of employee performance and simplify employees’ access to systems. In our 2014 Human Capital Management research agenda, more capable HR systems and advances in mobile and social technologies that support learning management are key priorities; this agenda builds on newly released research on workforce management and human capital analytics, and upcoming payroll management. If you haven’t already had a chance, check out the market and technology analyses of Stephan Millard, Ventana’s vice president and research director, as you go forward with your human capital management efforts. Other areas of continued refinement are sales and marketing, which of course are critical to achieving successful business outcomes and optimal financial results. Improving sales performance requires a concerted effort, and over the past decade we have been refining a blueprint to ensure that sales teams have the proper applications and technology to support their activities. To provide that support, it is essential to determine if the right level of investment is being made. Many professionals now realize that customer relationship management and sales force automation meet only part of what a sales organization needs, from executives and management to the sales operations required to manage the hierarchy of sales and account representatives and their managers. One key activity is sales forecasting; many organizations do not have sufficient visibility and knowledge of the sales pipeline to adjust their focus to reach the best possible outcomes, and today they need not just quarterly data but also monthly and weekly views. In addition, the compensation and incentives that motivate sales leave much room for improvement, needing data to determine not just variable pay but how well sales people and group are reaching the full potential in their quotas and territories. Our 2014 Sales and Marketing research agenda will bring forward research and facts to help Sales make the right investments in these areas and others to focus on efficiency and execution. Those leading sales teams will need to determine whether and where they need to make improvements, which includes creating a better alignment with marketing to generate sales demand using new techniques and to educate prospects to help ease the sales process. This can’t be done without having the right information about products and services that can be used in marketing as well as in commerce, sales and the supply chain; product information management is essential, and we will continue to track and write about it. These areas of focus, along with examining the role of sales analytics, will uncover new potential in what Sales can do to meet its mission. Engaging customers and providing a great experience is essential for best-in-class organizations, but that requires effective technology in all aspects of customer interaction and service. This is excruciatingly important, as the ability of customers to comment on a customer experience (negative or positive) is instant via social media. Our research agenda for customer applications and technology shines light on a range of helpful tools, from customer engagement applications to the use of analytics and cloud computing in optimizing multichannel contact centers, as well as subscription billing and recurring revenue. Building on a foundation of research on customer service agents in contact centers and other areas of the business, it reveals that much must be done to retrofit the archaic telephone call centers of the past to meet the interaction needs of today and the future. If you have not had a chance to examine the analyst perspectives of Richard Snow, Ventana vice president and research director, I encourage you to do so. Further, the energy in business analytics continues to increase as organizations begin to see a return on insights that help them more confidently lead and manage business initiatives. Business analytics is moving beyond business intelligence efforts that are typically managed in IT, and organizations are starting to make big data investments that bring a new generation of tools to analysts and business users, enabling them to utilize more self-sufficient discovery and exploratory methods, including predictive ones. Providing visualization of data will only meet a small set of the business analytics needs of organizations though much of the focus in 2013 was in this area of focus. However, in the shift to empowering businesses with analytics many organizations have gotten caught up in the excitement around the technology without rationalizing the needs and skills of their users; they need to develop a clear set of what we call personas to align the right technology with the right individuals. We also address the issue of most organizations still being challenged by a lack of automation in assembling and integrating data for business analytics, functionality that can save time in realizing the value from analytics. The processing of events for real or right time needs are critical as found in our operational intelligence research that will also assess and rate the vendors in 2014. Also at the beginning of this year will be the release of the most comprehensive rating in our hands on evaluation of mobile BI products in our Value Index that will cover products that operate on smartphones and tablets. A new version of the business intelligence value index will come in 2014 too. New research in location analytics and information optimization (finding value in information through big data) set the foundation for upcoming research in big data analytics that will reveal insights from early adopters and enable others to benefit from their efforts. We have found that there is a skills and process gap in most organizations, and we’ll conduct new research on the next generation of business analytics to help organizations fully utilize analytics and exploit the insights. Tony Cosentino, our vice president and research director, has a robust Business Analytics research agenda for 2014 that will help organizations build a foundation and roadmap. Not to be overshadowed by the momentum of business analytics, big data is becoming less mysterious for organizations, many of which love the conversation but have not investigated how they can actually step forward to seize innovations in the storage and processing of data. Getting past the market diatribes about the four V’s of big data – variety, velocity, volume and veracity – is critical; we see a new generation of value characteristics described as the four W’s: who, what, so what and now what, which are address the classic when, where, who and why. Our big data and information optimization research agenda for 2014 examines the growing portfolio of big data technologies including databases, in-memory processing, appliances and Hadoop, all of which have distinct characteristics and require different skill levels. As we enter 2014 a new generation of converged technology is unifying these capabilities in appliances that bring hardware and software together, making big data initiatives easier to implement and deploy. Just as organizations continue to deploy new types of big data technologies to gain a competitive edge, we have entered a new age of requirements for big data integration that can help utilize data across the enterprise in an architected manner, which is part of the background for new research in this area. We will also have a new Value Index in data integration for 2014 that will cover the needs across the department, enterpris and big data. Our new research on finding information value from big data will help business and IT set a more balanced focus on big data. We have now publicly unveiled the research agendas for 2014 to which we provided early access for our clients. We post research agendas publicly to provide depth on the themes and plans for our research in the year including benchmarks and Value Indexes. Unlike us, most IT analyst firms do not publish their annual plans and have dropped the process, ignoring the rigor it takes to ensure an independent level of research is conducted. This is part of the challenge I laid down to the IT analyst industry, in which too many just go along and “wing it with nothing” or refuse to publish with access at no charge. We have a passion for research and a laser focus on the best practices and insights related to the applications and technology that help business and IT be successful. I believe our firm plays a meaningful role in helping organizations improve their use of technology. For more than a decade Ventana Research has been providing fact-based perspectives, from our analysis and guidance to our best practices and insights. Such perspectives are not available from any IT analyst or consulting firm that is aligned to a particular vendor’s technology and resources. We demonstrated our commitment to public dialogue in two great events held in 2013, our business technology leadership and technology innovation summits. To see what I mean, look at the video replays available online, as well as presentations on business technology leadership and technology innovation. This year also will include summits that will help provide the guidance and insight you need to be successful in utilizing technology effectively across business and IT. Equally exciting was the recognition of recipients of our Technology Leadership and Technology Innovation awards, furthering our commitment to celebrate technology pioneers and leaders in organizations and suppliers. Please follow us on social media at Twitter or LinkedIn to get the latest updates on our events and research. On behalf of the entire team at Ventana Research, I wish you a prosperous and innovative 2014. We hope you derive full value from technology in 2014, and we look forward to hearing from you through any of our channels, including research, blogs and social media. Taking heed of best practices and benefits realized by others is critical, but aspiring to be ahead of your competition through the best possible business and IT results will require innovative approaches in use of technology. Refer to our research agendas to ensure that you don’t miss the big ideas and practice methods in your efforts, and count on us to help you build further assessments and benchmark comparisons to reach your full potential. Best Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vrlogobug400x400-2.jpg", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://marksmith.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Ventana Research Technology Innovation Awards Are More Than Cool", "mainEntityOfPage": "https://marksmith.isg-research.net/marksmith-blog/2013/08/31/ventana-research-technology-innovation-awards-are-more-than-cool", "datePublished": "31/08/2013", "dateModified": "31/08/2013", "articleBody": "In the realm of technology that matters for business and IT, our firm as part of our responsibility continually assesses the latest technology and how it can impact organizations’ efficiency and effectiveness. Our benchmark research in technology innovation found that 87% of participants indicated the importance of increasing the organization’s value through technology innovation. Every year we take our knowledge from research and technology briefings to focus on our Technology Innovation Awards and determine the vendors and products that have the potential to drive change in the market, the competitiveness of an organization’s business and sometimes just how efficiently a company operates. Our firm believes that Innovation can come from any size technology vendor from the smallest to the largest that are measured on a spectrum of attributes that contribute to the specific impact of the technology. Our process with the Technology Innovation Awards is to separate out and find the vendors and products that have innovative technology that has the most potential and might be game changing or what might be just a necessity for organizations to use to compete in the market. We methodically assess and score those technologies according to more than 26 categories, and then rate and validate within each category to determine the winner of the Technology Innovation Award. Our methodology looks at the relevance of key aspects of technology, including people, processes, information and technology, along with any best practices for applying the technology and the resulting potential impact and benefits to organizations. To apply an additional lens on the technologies being assessed we also employ the technology evaluation categories (functionality, capability, reliability, manageability, adaptability, TCO and ROI, and vendor validation) that we use to methodically assess vendors and products in our Value Indexes. This year we have kept a closer eye on usability of technology and where it can have use across a larger number of individuals in an organization or easier to use for a specific set of people or department, as our research found that usability had the highest level of importance for technology and vendor consideration in 64% of organizations. Our award categorization makes it self-evident where the technology is relevant and is part of our research focus that is built around innovative technology, as I previously outlined. In the end our Technology Innovation Awards are not just about being a cool vendor but about having innovative technology in either a shipping product or one coming to market in the near future that is worth recognition. According to our research, almost half of organizations (49%) are planning to change the way they assess and select innovative technology for business and IT through 2014. With that backdrop let me introduce you to the Technology Innovation Award recipients for 2013 so you can see for yourself what technologies could change how your organization operates significantly. Business Technology Big Data: Hortonworks for Hortonworks Data Platform 2.0 Business Analytics: Datameer for Datameer v3.0 Business Collaboration: Peoplefluent for Peoplefluent Social Collaboration Cloud Computing: VMware for VMware vCloud Hybrid Service Mobile Technology: Kronos for Kronos Mobile Social Media: NetBase for NetBase Social Media Management Systems Business Innovation Office of Finance: Vertex for Vertex Enterprise Financial Management: Kyriba for Kyriba Enterprise Governance, Risk & Compliance (GRC): IBM for IBM Algorithmics Human Capital Management: Oracle for Fusion Human Capital Management Sustainability: Johnson Controls Inc. for Panoptix Operational Innovation Overall Operational Innovation: Globoforce for Globoforce Contact Center: Upstream Works for Finesse by Upstream Works Customer: VPI for VPI VirtualSource Marketing: KXEN for KXEN InfiniteInsight Sales: Xactly Corporation for Xactly Objectives Service & Supply Chain Excellence: Agility for Agility Multichannel IT Innovation CIO: Planview for Planview Enterprise 11 Overall IT Leader: Datawatch for Datawatch Panopticon Analytics: IBM for IBM SPSS Catalyst Business Intelligence: Roambi for Roambi Business Information Optimization: Informatica for Informatica Vibe Information Management: Information Builders for iWay 7 IT Analytics or Performance: SQLstream for SQLstream s-Server, s-Cloud, s-Analyzer and s-Transport Location Intelligence: Esri for Esri Maps Operational Intelligence: IBM for InfoSphere Streams v3.1 If you want to learn about technology innovation and see examples including from ones that received a Technology Innovation Award, come to our Technology Innovation Summit. At the summit you’ll learn why it’s critical to assess innovation and look beyond what you are doing today to determine where you can make changes to drive improvement. Our research found that organizations are changing the way they evaluate innovation technology mostly to drive business improvement initiatives (60%) and improve the quality of business processes (57%). If you want advice or guidance to help you leverage technology innovations, just let me know, as we are always happy to help organizations be smarter and faster. Congrats to this year’s award recipients for innovations that are worthy of our recognition and your time to see where they might help your organization. Regards, Mark Smith CEO & Chief Research Officer", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/2013_tech_innovation_award-1.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://marksmith.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "marksmith.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script>  <script data-hs-allowed="true" src="/_hcms/forms/v2.js"></script> <script data-hs-allowed="true"> var options = { portalId: '2035844', formId: 'fa276fc9-9a16-4673-a644-1fcbedcc3c24', formInstanceId: '8269', pageId: '4167680152', region: 'na1', inlineMessage: "Thanks for subscribing!", rawInlineMessage: "Thanks for subscribing!", hsFormKey: "28773ea173e9d547ab6c9ee1ac1e3a99", css: '', target: '#hs_form_target_module_1552944263900179', contentType: "listing-page", formsBaseUrl: '/_hcms/forms/', formData: { cssClass: 'hs-form stacked hs-custom-form' } }; 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