David Menninger's Analyst Perspectives

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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/customerexperience/agentmanagement" class="minimal-mobile-menu-link"><span>Agent 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/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 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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://davidmenninger.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://davidmenninger.isg-research.net/hubfs/_images/_backgrounds_expertise/2024_VR_AI_Expertise_Image_AdobeStock_637057734_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://davidmenninger.isg-research.net/hubfs/_images/_team/Menninger.David%20Pic.Circle.png" style="padding: 10px; "> <br> <h1 class="analyst-header-title">David Menninger's Analyst Perspectives</h1>  </div> </div> </div> </div> <div class="content-wrapper-listing blog-single"> <div class="blog-content-wrapper"> <div>  <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/teradata-expands-vantage-enterprise-data-platform">Teradata Expands Vantage Enterprise Data Platform</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">24 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png?width=200&name=AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png?width=100&name=AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png?width=200&name=AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png?width=300&name=AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png?width=400&name=AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png?width=500&name=AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png?width=600&name=AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers and business personnel. Some of the key enhancements included expanding the native support for R and Python, extending the ability to execute a wide range of open-source analytics algorithms, and automatic generation of SQL from R and Python code....</p> </div> <a href="https://davidmenninger.isg-research.net/teradata-expands-vantage-enterprise-data-platform"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-3">business intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/sap-excels-in-value-index-for-analytics-with-its-customer-experience">SAP Excels in Value Index for Analytics with its Customer Experience</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">22 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png?width=200&name=AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png?width=100&name=AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png?width=200&name=AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png?width=300&name=AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png?width=400&name=AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png?width=500&name=AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png?width=600&name=AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.sap.com/index.html" style="text-decoration: none;">SAP</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/sap-excels-in-value-index-for-analytics-with-its-customer-experience"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/board-international-gains-exemplary-vendor-ranking-in-value-index">Board International Gains Exemplary Vendor Ranking in Value Index</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">17 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png?width=200&name=AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png?width=100&name=AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png?width=200&name=AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png?width=300&name=AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png?width=400&name=AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png?width=500&name=AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png?width=600&name=AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.board.com/en#gref" style="text-decoration: none;">Board International</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/board-international-gains-exemplary-vendor-ranking-in-value-index"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/yellowfin-is-innovative-leader-in-mobile-and-collaborative-analytics">Yellowfin is Innovative Leader in Mobile and Collaborative Analytics</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">16 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png?width=200&name=AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png?width=100&name=AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png?width=200&name=AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png?width=300&name=AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png?width=400&name=AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png?width=500&name=AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png?width=600&name=AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.yellowfinbi.com/suite" style="text-decoration: none;">Yellowfin</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/yellowfin-is-innovative-leader-in-mobile-and-collaborative-analytics"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-3">business intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/domo-rated-exemplary-and-collaborative-leader-in-2021-value-index-on-analytics-and-data">Domo Rated Exemplary and Collaborative Leader in 2021 Value Index on Analytics and Data</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">10 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png?width=200&name=AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png?width=100&name=AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png?width=200&name=AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png?width=300&name=AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png?width=400&name=AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png?width=500&name=AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png?width=600&name=AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.domo.com/" style="text-decoration: none;">Domo</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/domo-rated-exemplary-and-collaborative-leader-in-2021-value-index-on-analytics-and-data"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-3">business intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/oracle-earns-innovative-vendor-rating-in-2021-analytics-and-data-value-index">Oracle Earns Innovative Vendor Rating in 2021 Analytics and Data Value Index</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">09 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png?width=200&name=AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png?width=100&name=AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png?width=200&name=AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png?width=300&name=AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png?width=400&name=AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png?width=500&name=AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png?width=600&name=AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.oracle.com/middleware/technologies/oracle-analytics-cloud.html#:~:text=Oracle%20Analytics%20Cloud%20provides%20the,analytics%20that%20deliver%20proactive%20insights." style="text-decoration: none;">Oracle Analytics Cloud</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/oracle-earns-innovative-vendor-rating-in-2021-analytics-and-data-value-index"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/qlik-is-exemplary-and-value-index-leader-in-customer-experience-for-2021-value-index-for-analytics-and-data">Qlik is Exemplary and Value Index Leader in Customer Experience for 2021 Value Index for Analytics and Data</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">08 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png?width=200&name=AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png?width=100&name=AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png?width=200&name=AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png?width=300&name=AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png?width=400&name=AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png?width=500&name=AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png?width=600&name=AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.qlik.com/us/products/qlik-sense" style="text-decoration: none;">Qlik</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/qlik-is-exemplary-and-value-index-leader-in-customer-experience-for-2021-value-index-for-analytics-and-data"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-3">business intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/tibco-information-builders-is-named-an-innovative-vendor-in-2021-value-index">TIBCO Information Builders is Named an Innovative Vendor in 2021 Value Index</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">04 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png?width=200&name=AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png?width=100&name=AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png?width=200&name=AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png?width=300&name=AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png?width=400&name=AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png?width=500&name=AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png?width=600&name=AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.ibi.com/resources/webfocus-business-intelligence-and-analytics-platform/" style="text-decoration: none;">Information Builders’</a> WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/tibco-information-builders-is-named-an-innovative-vendor-in-2021-value-index"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-3">business intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/microstrategy-earns-value-index-rating-of-exemplary-in-analytics-and-data">MicroStrategy Earns Value Index Rating of Exemplary in Analytics and Data</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">03 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png?width=200&name=AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png?width=100&name=AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png?width=200&name=AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png?width=300&name=AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png?width=400&name=AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png?width=500&name=AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png?width=600&name=AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.microstrategy.com/en" style="text-decoration: none;">MicroStrategy</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/microstrategy-earns-value-index-rating-of-exemplary-in-analytics-and-data"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-3">business intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data">Data</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/ibm-is-exemplary-and-leader-in-analytics-and-data-value-index">IBM is Exemplary and Leader in Analytics and Data Value Index</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">02 June 2021 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png?width=200&name=AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png?width=100&name=AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png?width=200&name=AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png?width=300&name=AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png?width=400&name=AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png?width=500&name=AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png?width=600&name=AP_DM_IBM%20is%20Exemplary%20and%20Leader%20in%20Analytics%20and%20Data%20Value%20Index.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>We are happy to share some insights about <a href="https://www.ibm.com/products/cognos-analytics" style="text-decoration: none;">IBM</a> drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.</p> </div> <a href="https://davidmenninger.isg-research.net/ibm-is-exemplary-and-leader-in-analytics-and-data-value-index"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/embedded-analytics">embedded analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</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(){ 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Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.</p> <p>Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to <a href="mailto:ChiefResearchOfficer@isg-research.net">ChiefResearchOfficer@isg-research.net</a></p> </li> </ul> <a class="btn-secondary" href="https://www.isg-research.net/analyst-perspective-policy">View Policy</a></span>  <div id="hs_cos_wrapper_module_168621267066296" 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"><style> </style> <h3 style="color: #255a89;">Our Analysts</h3>  <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://davidmenninger.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png" alt="David Menninger" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=50&name=Menninger.David%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=150&name=Menninger.David%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=200&name=Menninger.David%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=250&name=Menninger.David%20Pic.Circle.png 250w, https://davidmenninger.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://davidmenninger.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://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=50&name=Orr.Jeff.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=150&name=Orr.Jeff.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=200&name=Orr.Jeff.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=250&name=Orr.Jeff.Circle.png 250w, https://davidmenninger.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://davidmenninger.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://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=50&name=Dawson.Keith%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=150&name=Dawson.Keith%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=200&name=Dawson.Keith%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=250&name=Dawson.Keith%20Pic.Circle.png 250w, https://davidmenninger.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://davidmenninger.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://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=50&name=Smith.Mark%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=150&name=Smith.Mark%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=200&name=Smith.Mark%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=250&name=Smith.Mark%20Pic.Circle.png 250w, https://davidmenninger.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://davidmenninger.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://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=50&name=Aslett.Matt%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=150&name=Aslett.Matt%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=200&name=Aslett.Matt%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=250&name=Aslett.Matt%20Pic.Circle.png 250w, https://davidmenninger.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://davidmenninger.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://davidmenninger.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, https://davidmenninger.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 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=150&name=profile_vr_matthew_brown_circle_900x900.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=200&name=profile_vr_matthew_brown_circle_900x900.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=250&name=profile_vr_matthew_brown_circle_900x900.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=300&name=profile_vr_matthew_brown_circle_900x900.png 300w"> <h5 class="analyst_name">Matthew Brown</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://robertkugel.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=100&name=Kugel.Robert%20Pic.Circle.png" alt="Robert Kugel" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=50&name=Kugel.Robert%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=100&name=Kugel.Robert%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=150&name=Kugel.Robert%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=200&name=Kugel.Robert%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=250&name=Kugel.Robert%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=300&name=Kugel.Robert%20Pic.Circle.png 300w"> <h5 class="analyst_name">Robert Kugel</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://stephenhurrell.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=100&name=Hurrell.Stephen%20Pic.Circle.png" alt="Stephen Hurrell" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=50&name=Hurrell.Stephen%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=100&name=Hurrell.Stephen%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=150&name=Hurrell.Stephen%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=200&name=Hurrell.Stephen%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=250&name=Hurrell.Stephen%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=300&name=Hurrell.Stephen%20Pic.Circle.png 300w"> <h5 class="analyst_name">Stephen Hurrell</h5> </a> </div> </div>   <div class="row-fluid">  <div style="text-align: center;"> <a href="https://blog.isg-research.net"> <img class="analyst_img" style="width: 100px;" 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href="https://davidmenninger.isg-research.net/archive/2017/01">January 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/12">December 2016 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/11">November 2016 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/10">October 2016 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/09">September 2016 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/08">August 2016 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/07">July 2016 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/05">May 2016 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/04">April 2016 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/03">March 2016 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2016/02">February 2016 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2012/03">March 2012 <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2012/02">February 2012 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.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://davidmenninger.isg-research.net/archive/2011/12">December 2011 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/11">November 2011 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/10">October 2011 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/09">September 2011 <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/08">August 2011 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/07">July 2011 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/06">June 2011 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/05">May 2011 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.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://davidmenninger.isg-research.net/archive/2011/03">March 2011 <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/02">February 2011 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2011/01">January 2011 <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2010/12">December 2010 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2010/11">November 2010 <span class="filter-link-count" dir="ltr">(12)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2010/06">June 2010 <span class="filter-link-count" dir="ltr">(1)</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://davidmenninger.isg-research.net/topic/ai">AI <span class="filter-link-count" dir="ltr">(11)</span></a> </li> <li> <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning <span class="filter-link-count" dir="ltr">(95)</span></a> </li> <li> <a href="https://davidmenninger.isg-research.net/topic/alteryx">alteryx <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li> <a href="https://davidmenninger.isg-research.net/topic/alteryx-inspire">Alteryx Inspire <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li> <a href="https://davidmenninger.isg-research.net/topic/analytic-data-platforms">analytic data platforms <span class="filter-link-count" dir="ltr">(1)</span></a> </li> 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href="https://davidmenninger.isg-research.net/topic/data-visualization">Data Visualization <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-warehousing">Data Warehousing <span class="filter-link-count" dir="ltr">(12)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/database">Database <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/datameer">Datameer <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/dataops">dataops <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/datawatch">Datawatch <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/decision-intelligence">Decision Intelligence <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/deep-learning">Deep Learning <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/digital-business">Digital Business <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/digital-commerce">Digital Commerce <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/digital-technology">Digital Technology <span class="filter-link-count" dir="ltr">(82)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/domo">Domo 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href="https://davidmenninger.isg-research.net/topic/event-data">Event Data <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/event-stream-processing">Event Stream Processing <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/event-streams">Event Streams <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/exalytics">Exalytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/explorium">Explorium <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/extended-reality">extended reality <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/external-data-platform">External Data Platform <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/financial-performance">Financial Performance <span class="filter-link-count" dir="ltr">(32)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/financial-performance-management">Financial Performance Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/genai">GenAI <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/generative-ai">Generative AI <span class="filter-link-count" dir="ltr">(8)</span></a> </li> <li style="display:none;"> <a 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class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/workforce-performance">Workforce Performance <span class="filter-link-count" dir="ltr">(30)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/yellowfin">Yellowfin <span class="filter-link-count" dir="ltr">(2)</span></a> </li> </ul> <a class="filter-expand-link" href="#">see all</a> </div> </div> </span> <br><br> <h3 style="color: var(--light_blue);padding-top:40px;">Analyst Perspectives Archive</h3> <p><a class="btn-secondary" href="https://davidmenninger.isg-research.net/all">See All</a></p>   </div> </div> </div> <div id="hs_cos_wrapper_Footer" 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"> <footer class="tf-footer Footer tf-footer-04 bg-dark tf-padding-half ventana-footer text-white Footer" 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"@context": "http://schema.org", "@type": "BlogPosting", "headline": "Teradata Expands Vantage Enterprise Data Platform", "mainEntityOfPage": "https://davidmenninger.isg-research.net/teradata-expands-vantage-enterprise-data-platform", "datePublished": "24/06/2021", "dateModified": "24/06/2021", "articleBody": "Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers and business personnel. Some of the key enhancements included expanding the native support for R and Python, extending the ability to execute a wide range of open-source analytics algorithms, and automatic generation of SQL from R and Python code. These updates are included to reduce data silos, enabling a wide range of data and analytics personas to collaboratively run complex analytics in a self-service manner. Teradata is a Relational Database Management System (RDBMS) for developing large-scale data-warehousing applications deployed on premises or in the cloud. It offers rich workload-management capabilities that can support multiple data-warehouse operations at the same time and can handle large volumes of data and can be scaled up to a maximum of 2048 nodes. Teradata’s architecture is based on Massively Parallel Processing (MPP), which divides large volumes of data into smaller processes and executes them in parallel. Emerging use cases of advanced analytics and ever-increasing types and sources of data are compelling data scientists to utilize varied data-science techniques. These techniques include multiple user languages such as SQL, R, Python, and Scala, as well as various analytics technologies such as machine learning (ML), graph analytics and neural net analytics. This is combined with multiple styles of analytics that span statistical, text, ML and deep learning. The need for operationalization at the speed of business adds another layer of complexity, which can be critical for data-powered and analytics-driven decision making. We assert that through 2024, relational data warehouse technologies and big data platforms will converge to create enterprise data platforms, enabling organizations to collect and analyze all types of operations-generated information. Teradata Vantage is an example of an enterprise data platform. It combines multiple data-storage engines with multiple analytics engines to enable both SQL and more advanced analytical processing over relational data and big data storages. Teradata Vantage delivers analytics functions and engines, tools and languages, and supports multiple data types. It embeds analytics engines close to the data, which eliminates the need to move data and allows personnel to run analytics and models against larger data sets without sampling. Teradata Vantage’s Machine Learning Engine (ML Engine) provides a suite of ML functions to perform analytics on all available datasets. It can support use cases that require training the model with a full dataset, without giving up end-to-end performance of an analytics workload. Teradata’s ML Engine uses SQL-MapReduce Collaborative Planning, which was part of its Aster Data acquisition, to enable multiple types of analytics. It can work with a combination of structured, multi-structured and unstructured data (such as text, numerical, tabular, files, CLOBs, and BLOBs data types) to perform path and pattern, ML, and graph analytics in the same workload. Organizations are collecting and analyzing data to forecast future events in order to improve various aspects of their businesses. The process requires the fluidity to manage all types of data sources and move between different analytics, exchanging data and gaining insights as the data is generated. Teradata is an open and scalable database management system that offers linear scalability, which allows a large volume of data to be handled efficiently at one time by adding nodes for increased data workloads. Business personnel can connect to Teradata with various business intelligence (BI) and analytical tools for high-performance analyses at scale. I recommend that organizations looking to integrate data from various sources and simplify their data and analytics ecosystem should consider Teradata when evaluating vendors. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_Teradata%20Expands%20Vantage%20Enterprise%20Data%20Platform.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "SAP Excels in Value Index for Analytics with its Customer Experience", "mainEntityOfPage": "https://davidmenninger.isg-research.net/sap-excels-in-value-index-for-analytics-with-its-customer-experience", "datePublished": "22/06/2021", "dateModified": "22/06/2021", "articleBody": "We are happy to share some insights about SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated SAP and 17 other vendors in seven categories: five relevant to the product and experience – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the customer experience – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Business Intelligence. SAP performance rating in the Value Index is overall at 69.9% and for customer experience is 82.6% and product experience is 67.5%. SAP, one of the world’s largest software vendors, has been providing BI software for decades. It was categorized as a Vendor with Assurance, ranking ninth overall in this Value Index evaluation. SAP was a Value Index Leader — and first — in Customer Experience, and within TCO/ROI — where it was first — and Validation. SAP Analytics Cloud is a completely re-designed cloud-based offering that has become SAP’s primary analytical platform for new customers. Data can be imported to the cloud or accessed in place via live data networks. SAP Analytics Cloud offers one of the best integrations of analytics and planning of the products evaluated in this Value Index. The user interface is clean, and SAP has done a nice job incorporating machine language insights and natural language processing within the product, a combination it calls augmented analytics. SAP would perform better in Adaptability with better business process integration outside of the SAP framework. In the Capability section, more collaborative capabilities and deeper predictive analytics would help improve its rating. Interpreting the results of the analyses, choosing a course of action and tracking the implementation of those actions spans multiple roles and even multiple departments within an organization. Facilitating communication and collaboration among those involved in the decision-making process leads to more informed and better decisions. SAP Analytics Cloud enables sharing and emailing analyses, posting analyses to discussion groups, some annotations and comments for analyses, assigning and tracking tasks to completion, and some alerting to support collaboration. Its Capability ranking would improve with wall posting, social recognition for contributions and additional personalization. Analytics vendors understand the need to deliver embedded analytics. When line-of-business personnel have immediate access to cross-functional analytics embedded in their activities and processes, it helps make operational decision-making more efficient and effective. SAP Analytics Cloud includes REST application programming interfaces, a URL API, and JavaScript APIs. Developers can use the APIs to customize visualization components, build custom applications, access data and manage the system and users. SAP would perform better in Capability with better NLP, some additional visualizations and better rebranding options. Organizations must provide technology that can access data, generate and apply insights from analytics, communicate the results and support collaboration as needed. Many workers switch between desktop/laptop devices when in the office to mobile devices when outside the office, so integration between these two modes is important. SAP Analytics Cloud mobile application is available for iOS and Android devices. It supports a wide variety of visualizations and offers a mobile device preview for designing mobile content. The product offers good annotation, collaboration and notification capabilities. SAP’s natural language search is available on mobile devices, including voice support using the device’s voice-to-text capabilities. SAP would perform better in Capability with more support for wearables and better use of built-in device capabilities such as camera integration and location awareness. This assessment was based on SAP’s analytics products available in December of 2020. Since our assessment, SAP has continued its regular release cadence and issued several updates. SAP Analytics Cloud now includes enterprise reporting with pixel-perfect capabilities. New data modeling capabilities enable account-based models — typically used in planning applications — to be combined with measure-based models used in more traditional BI applications. There are new workflow enhancements in reviewing and approving tasks associated with budgeting and planning processes. The Search to Insight feature has been enhanced with voice support on iOS devices. A number of other enhancements have been added as well, which are noted here. Organizations should evaluate data and analytics requirements including collaborative, embedded and mobile capabilities to ensure existing solutions are meeting the organization’s needs. If existing solutions are not satisfying those requirements, organizations should consider whether SAP can help meet those needs. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_SAP%20Excels%20in%20Value%20Index%20for%20Analytics%20with%20its%20Customer%20Experience.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "Board International Gains Exemplary Vendor Ranking in Value Index", "mainEntityOfPage": "https://davidmenninger.isg-research.net/board-international-gains-exemplary-vendor-ranking-in-value-index", "datePublished": "17/06/2021", "dateModified": "17/06/2021", "articleBody": "We are happy to share some insights about Board International drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated Board International and 17 other vendors in seven categories: five relevant to the product and experience – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the customer experience – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Business Intelligence. Board's performance rating in the Value Index overall is 70.3%, for customer experience 73.1% and product experience 69.8%. Board International, a Swiss-based vendor of BI and corporate performance management systems and tools, was categorized as an Exemplary Vendor and ranked eighth overall in this Value Index evaluation. While based in Switzerland, the company operates internationally with offices around the world. Board performed its best in Validation and was a Value Index Leader in Reliability and Validation. Its product, Board 11, is available on-premises or in the cloud with unified planning and analytics. It uses an in-memory multidimensional data model in conjunction with an optional hybrid architecture that can load indexes in memory but retrieve data values as necessary. It is one of only five of the 18 products evaluated able to change data values and recalculate results on the fly and write results back to the database. There is no distinction in the product between data used in planning versus data used across any of its analytics. As a result, it provides a simple and smooth transition between the two types of analyses. Our assessment finds room for improvement in the product’s Adaptability. Additional application programming interfaces and support for more customization would enable better integration with other applications and processes in an organization. Board would have performed better in Capability if the product offered more collaboration and advanced analytics. Collaborative tools can enable a diverse group of participants to coordinate their activities and share knowledge. Our research shows that nearly four in 10 organizations are using collaboration to support analytics processes, and more than one-half said they expect to use these capabilities in the future. As a product that supports planning analyses, Board provides data sharing and collaboration around changes to values in plans. Using built-in features, organizations can create a task-management framework for submitting and tracking the status of plans. Board web clients also provide a chat feature to enable messages between users that can incorporate screenshots. Board’s Adaptability rating would be improved with additional APIs. To optimally use data in both tactical and strategic ways, organizations need analytics that are embedded in business processes and applications. Embedded analytics make analyses easier to perform and more accessible to line-of-business personnel. Board 11 recently introduced a set of REST APIs for accessing and interacting with data in the system. It also supports custom connectors. Embedding of individual displays is available via URL references. Board would have performed better in Capability with additional APIs and support for more customization. These would enable better integration with other applications and processes in an organization. For analytics to be effective, they need to be available to line-of-business personnel as needed in their normal course of conducting business. Today, that means providing rich mobile access to analytics that support a mobile workforce seeking to conduct business in any location at any time. Board 11 provides native mobile capabilities for iOS iPads and Windows tablets, although the HTML5 rendering in its product makes it possible to view information on smartphone browsers. Board offers the ability to change data values and recalculate results on the fly. These tasks would be more difficult to perform on small-screen devices, hence the focus on tablets. The mobile applications provide offline support, and information can be saved to the device for offline processing and usage. Additional APIs and support for more customizations would enable better integration with other applications and processes in an organization. This assessment was based on Board International’s analytics products available at the end of December in 2020. In April 2021, Board Spring 21 was released, adding 30+ new connectors for business application, cloud and big-data sources. Some of the other new features include R integration that offers real-time results, and a new REST API that allows organizations to run integrations with systems and workflows across their landscape. Another major update is the recent release of Board 12 that includes performance improvements and new administration features. Main highlights include unbalanced hierarchies, data view enhancements, an Excel add-in and improved dataflow. Organizations should evaluate data and analytics requirements including collaborative, embedded and mobile capabilities to ensure the existing solutions are meeting the organization’s needs. If existing solutions are not satisfying those requirements, organizations should consider whether Board can help meet those needs. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_Board%20International%20Gains%20Exemplary%20Vendor%20Ranking%20in%20Value%20Index-1.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "Yellowfin is Innovative Leader in Mobile and Collaborative Analytics", "mainEntityOfPage": "https://davidmenninger.isg-research.net/yellowfin-is-innovative-leader-in-mobile-and-collaborative-analytics", "datePublished": "16/06/2021", "dateModified": "16/06/2021", "articleBody": "We are happy to share some insights about Yellowfin drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated Yellowfin and 17 other vendors in seven categories: five relevant to the product – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the vendor – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Business Intelligence. Yellowfin is an independent vendor of BI based in Australia and operating globally. It was categorized as an Innovative Vendor, ranking seventh overall in this Value Index evaluation. Yellowfin was a Value Index Leader in Adaptability and performed its best in Manageability. The Yellowfin product is available as a completely web-based offering either on-premises or through a partner as a cloud-based service. Yellowfin accesses data in place via relational databases, and includes a broad set of capabilities ranging from traditional reporting and dashboarding to interactive visualization to assisted insights using machine learning. The product provides good collaboration, communication and presentation capabilities, enabling users to act on the analyses they perform. Yellowfin would perform better in Reliability with an option for in-memory analysis of data and more support for big data sources. More information about the business case, including helping prospects project costs and benefits, would help improve TCO/ROI. Predictive analytics and planning analyses with write-back would improve its Capability rating. To maximize the value of analytics investments, organizations need business intelligence products that support the sharing of — and communication on — output from analytical processes. Facilitating communication and collaboration among those involved in the decision-making process leads to more informed and better decisions. The Yellowfin product provides a variety of collaborative capabilities, including sharing and emailing of analyses, wall posting and broadcasting, social recognition, annotations, instant messaging, assigning and tracking tasks, and alerting. Yellowfin’s Reliability ranking would improve with an option for in-memory analysis of data and more support for big data sources. Embedded analytics can dramatically reduce or eliminate time-consuming data preparation and makes analyses easier to consume because there is no need to switch context between the business application and an analysis tool. Providing line-of-business personnel access to cross-functional analytics embedded in activities and processes makes operational decision-making more efficient and effective. Yellowfin provides developers capabilities for restyling, integrating and extending its product. The product can be completely rebranded. Developers can choose to use iFrames, JavaScript or Web services for integration. Yellowfin includes a plug-in framework for creating new user interface components, database connectors, analytical functions and data transformations. Yellowfin’s Capability score would improve with more financial and spatial functions, support for offline usage, and more widespread use of ML. A mobile workforce seeking to conduct business in any location at any time expects mobile capabilities. Organizations are increasingly choosing analytics platforms that deliver analytics and BI on a variety of mobile devices including smartphones and tablets. Yellowfin Mobile is available as a native application for iOS and Android devices. The product provides good mobile navigation and interaction including a wide range of visualizations and some offline interactions. The Yellowfin mobile app also supports a full range of collaboration capabilities of the platform, which is rare among the products we evaluated. Yellowfin’s Capability score would improve with camera support, location awareness and better support of wearables. This assessment was based on Yellowfin 9.4, which was available at end of December 2020. Since then, Yellowfin has released version 9.5 with additional features and capabilities. The product now supports new image formats including SVG, GIF and Adobe Photoshop Documents. It also provides notifications within the product, several filtering improvements and user experience enhancements to dashboard canvas operations. Yellowfin has also incorporated metadata caching to improve performance in modeling and data preparation activities. You can see the full list of enhancements here. Organizations should evaluate data and analytics requirements including collaborative, embedded and mobile capabilities to ensure the existing solutions are meeting the organization’s needs. If the existing solutions are not satisfying those requirements, organizations should consider whether Yellowfin can meet the data and analytics requirements. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_Yellowfin%20is%20Innovative%20Leader%20in%20Mobile%20and%20Collaborative%20Analytics.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "Domo Rated Exemplary and Collaborative Leader in 2021 Value Index on Analytics and Data", "mainEntityOfPage": "https://davidmenninger.isg-research.net/domo-rated-exemplary-and-collaborative-leader-in-2021-value-index-on-analytics-and-data", "datePublished": "10/06/2021", "dateModified": "10/06/2021", "articleBody": "We are happy to share some insights about Domo drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated Domo and 17 other vendors in seven categories: five relevant to the product – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the vendor – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Business Intelligence. Domo, a publicly traded vendor of cloud-based BI, was categorized as an Exemplary Vendor and ranked sixth overall in this Value Index evaluation. Domo performed consistently well in the Value Index across all categories in the evaluation and its best in Manageability. The Domo product runs in the cloud and data is generally loaded into Domo’s platform for analysis, but there are also hybrid capabilities to support accessing databases on demand. The product includes connectors to many types of business applications for hundreds of cloud and on-premises data sources extending well beyond databases. Domo also includes good collaboration and built-in machine language capabilities. It has been enhanced significantly since our last assessment, with additional customization capabilities. Our assessment finds room for improvement with additional predictive analytics and planning capabilities. Domo would have performed better in TCO/ROI if it provided additional tools for prospects to evaluate projected returns on investment. It would have performed better in Validation if more information were available on services, either from Domo or its partners. Collaboration among a team of individuals on analytical processes is important because it helps organizations maximize the value of analytics investments. Social media has introduced significant new collaboration capabilities that can further enhance the analytics process. Domo is the Value Index Leader in collaborative analytics. The product includes a community framework for communicating among teams or individuals. It includes alerting, annotations, social recognition and a task management framework for assigning and tracking actions associated with or resulting from the analytical process. Its Capability ranking would have been even higher with better integration with third-party collaboration tools. Demand for embedded analytics is growing: Nearly three-quarters of participants in our Data and Analytics in the Cloud Benchmark Research said they considered embedded analytics important. Analytics embedded in business processes and applications make analyses easier to perform and more accessible to line-of-business personnel. Domo provides developers REST application programming interfaces to access most of the system, along with examples in Java, Python and JavaScript, depending on the type of API. It also provides a framework for creating custom connectors with read or write functionality. Individual components can be embedded in other applications, and branding can be modified as needed. Domo would score better in Capability with support for more complex queries, natural language processing and ML assistance. Workers today switch between desktop/laptop devices when in the office to mobile devices when outside the office, so integration between these two modes is important. Vendors are focusing on delivery of analytics and business intelligence on a variety of mobile devices, including smartphones and tablets. Domo provides native iOS and Android mobile applications. The mobile product supports a wide variety of visualizations and interactions including collaboration, notifications and search. Custom Domo applications can also be deployed to mobile devices. Our assessment finds room for improvement with support for more native device capabilities such as location awareness, voice interaction and camera integration. This assessment was based on Domo’s analytics products available at end of December in 2020. Domo launched more than 100 new features at 2021 in March. Domo now offers a single interface where personnel can use data across multiple cloud platforms. Domo has also expanded its relationship with Amazon Web Services and introduced a new tool – Domo for Amazon Redshift, which enables native integration between Domo and AWS' cloud data warehouse. Along with enhanced embedded analytics and cloud-related capabilities, Domo's platform update features artificial intelligence capabilities including natural language in narrative cards, which automatically generates narratives. DDX Bricks is a feature that enables customers to create and deploy custom data visualizations and BI applications without writing code. Additional information about the latest releases is posted here. Organizations should evaluate data and analytics requirements including collaborative, embedded and mobile capabilities to ensure existing solutions are meeting business needs. If existing solutions are not satisfying those requirements, organizations should consider whether Domo can help meet those needs. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_Domo%20Rated%20Exemplary%20and%20Collaborative%20Leader%20in%202021%20Value%20Index%20on%20Analytics%20and%20Data.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "Oracle Earns Innovative Vendor Rating in 2021 Analytics and Data Value Index", "mainEntityOfPage": "https://davidmenninger.isg-research.net/oracle-earns-innovative-vendor-rating-in-2021-analytics-and-data-value-index", "datePublished": "09/06/2021", "dateModified": "09/06/2021", "articleBody": "We are happy to share some insights about Oracle Analytics Cloud drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated Oracle and 17 other vendors in seven categories: five relevant to the product – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the vendor – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Data. Oracle provides BI capabilities as one of many offerings in its portfolio of products and services. It was categorized as an Innovative Vendor, ranking fifth overall in this Value Index evaluation. Oracle performed its best and was a Value Index Leader in Product Experience. It performed well in Manageability and Capability, and was first in Usability. Oracle Analytics Cloud is a completely re-designed, cloud-based product complemented by an on-premises offering. The product includes a broad set of capabilities across many of the evaluation criteria in this assessment. Data can be loaded into the cloud or accessed remotely via the Data Gateway. Oracle Analytics Cloud is one of five vendors in our assessment that includes planning analyses via integration with Oracle Essbase. Oracle also offers one of the best natural language processing capabilities we evaluated. Oracle would perform better in both Manageability and Reliability with more notification support. Better support for prospects to project costs and benefits would help improve its TCO/ROI rating, and more information about services available specifically for Oracle Analytics would help improve its Validation rating. Our research shows that nearly four in 10 organizations are using collaboration to support analytics processes, and more than one-half expect to use these capabilities in the future. Oracle Analytics Cloud supports collaboration through sharing and emailing analyses, alerts and notifications, commenting on analyses and posting to discussion groups. Some of these features are provided via integration with other Oracle products. Oracle’s Capability ranking would improve if it supported assigning tasks and tracking them to completion, as well as wall posting and social recognition for contributions. Organizations recognize the importance of embedded analytics. Nearly three-quarters of participants in our Data and Analytics in the Cloud Benchmark Research said they considered embedded analytics important. Oracle offers developers a JavaScript framework for embedding content in applications and web pages. Developers can also use URL references and iFrames. Oracle provides a plug-in framework for custom visualizations and data actions. Administration can be performed via scripts. Oracle would perform better in Capability with additional financial and spatial functions, additional visualizations and voice capabilities outside of mobile applications. Today’s line-of-business personnel need rich mobile access to analytics in the normal course of conducting business. Organizations must make choices to provide analytics platforms that can deliver. Oracle Day by Day is available as a native application for iOS and Android. The product has been designed from the ground up as a mobile application companion to Oracle Analytics Cloud. It offers exceptional natural language and voice-based capabilities, including 28 different languages. It includes robust collaboration capabilities and supports native features from the device including camera integration and location awareness. Oracle would perform better in Capability if the mobile product were more closely aligned with the experience in Oracle Analytics Cloud rather than an entirely separate experience. This assessment was based on Oracle’s analytics products available at end of December in 2020. Since then, Oracle Analytics Cloud has been updated twice. A number of visualization enhancements have been implemented including time series forecasting and graph analytics in data flows. New data sources include Google BigQuery and remote Java database connectivity sources can be accessed via the Data Gateway. New data profiling information is available to provide data quality insights, and the home page has been improved with more personalization. Organizations should evaluate data and analytics requirements including collaborative, embedded and mobile capabilities to ensure the existing solutions are meeting business needs. If existing solutions are not satisfying those requirements, organizations should consider whether Oracle can help meet those needs. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_Oracle%20Earns%20Innovative%20Vendor%20Rating%20in%202021%20Analytics%20and%20Data%20Value%20Index.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "Qlik is Exemplary and Value Index Leader in Customer Experience for 2021 Value Index for Analytics and Data", "mainEntityOfPage": "https://davidmenninger.isg-research.net/qlik-is-exemplary-and-value-index-leader-in-customer-experience-for-2021-value-index-for-analytics-and-data", "datePublished": "08/06/2021", "dateModified": "08/06/2021", "articleBody": "We are happy to share some insights about Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated Qlik and 17 other vendors in seven categories: five relevant to the product – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the vendor – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Data. Qlik is a large, independent provider of BI software. It was categorized as an Exemplary Vendor, ranking fourth overall in this Value Index evaluation. Qlik was a Value Index Leader in Manageability and Usability, and in Customer Experience and within TCO/ROI and Validation. Qlik Sense is available as a cloud-based offering or on premises. Qlik has bolstered the data-related aspects of analytics with several acquisitions that improved its rating from prior years. Data is generally loaded into Qlik Sense’s in-memory associative index engine for high performance, but the company has also created a Direct Discovery option to access data on demand. Qlik Sense is highly customizable but also easy to use. Qlik would perform better in Adaptability with better business process integration. In the Capability section, more collaborative capabilities and predictive analytics would help improve its rating. Organizations have adopted more widespread use of enterprise collaboration technologies in place of or in addition to email. Analytics vendors have begun offering integration with those platforms. As a result of both of these trends, we see a resurgence in the use of collaborative analytics and BI. Qlik supports sharing and emailing analyses, alerts and notifications, and some annotation and commenting on analyses. Analyses can also be posted to third-party collaboration tools via URL. Assigning and tracking tasks to completion, as well as better support for discussion groups and wall posting would improve Qlik’s Capability ranking. Analyses are easier to perform when analytics are embedded in business processes and applications in part because the application collects and assembles data. Our research shows that data preparation can be the most time-consuming step in the analytical process. Qlik Sense offers developers several options for embedding. Developers can use JavaScript application programming interfaces to embed, interact with and extend Qlik Sense objects. JavaScript libraries are available for interacting with the Qlik Sense engine independent of the visualizations. Qlik also provides REST APIs to access the platform. Finally, custom connectors can be created for non-web-based versions of Qlik Sense. Qlik would perform better in Capability with a few additional visualizations, better integration of documents and desktop objects, and better natural language processing. There are trade-offs to delivering analytics and business intelligence on a variety of mobile devices including smartphones and tablets. For example, it may not be realistic to expect full-blown analyses on smartphones due to the small form factor. On the other hand, mobile devices offer capabilities such as voice interaction, location information and cameras that can enhance the user experience. Qlik Sense Mobile is available as a native application for iOS and Android devices. It offers a wide range of visualizations, and good navigation and search capabilities utilizing Qlik’s associative indexing technology. The product supports natural language search and some limited voice capabilities, depending on the device. Qlik Sense Mobile has an offline mode for selected data sets as well. Qlik would perform better in Capability with more collaborative capabilities, support for wearables, camera integration and location awareness. This assessment was based on Qlik’s analytics products available at end of December in 2020. Since our evaluation, Qlik has issued two additional releases. Several enhancements have been made to Insight Advisor search and chat capabilities, including multilingual chat and the option to generate narrative displays when using search. A new visualization was added for grid charts. New connectors have been created for Amazon Web Services Athena, Databricks and Microsoft Azure Synapse. Support for the Microsoft Edge browser was added for Windows, MacOS, iOS and Android. Additional information on new releases can be found here. Organizations should evaluate data and analytics requirements including collaborative, embedded and mobile capabilities to ensure the existing solutions are meeting business needs. If existing solutions are not satisfying those requirements, organizations should consider whether Qlik can help meet those needs. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_Qlik%20is%20an%20Exemplary%20and%20Value%20Index%20Leader%20in%20CX%20for%202021%20Data%20and%20Analytics%20VI.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "TIBCO Information Builders is Named an Innovative Vendor in 2021 Value Index", "mainEntityOfPage": "https://davidmenninger.isg-research.net/tibco-information-builders-is-named-an-innovative-vendor-in-2021-value-index", "datePublished": "04/06/2021", "dateModified": "04/06/2021", "articleBody": "We are happy to share some insights about Information Builders’ WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of successful BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated Information Builders and 17 other vendors in seven categories: five relevant to the product – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the vendor – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Business Intelligence. Information Builders, recently acquired by TIBCO, has been providing BI capabilities for decades. It was categorized as an Innovative Vendor and ranked third overall in this Value Index evaluation. Information Builders performed best in Manageability, and was a Value Index Leader in Adaptability and Capability. The product, WebFOCUS, runs on premises and has recently been expanded to include a cloud offering. Data resides in source databases with an in-memory caching layer available to enhance performance. The product supports a wide variety of data sources and offers a broad set of capabilities across the data, analytics and communications criteria in this index. More information and tools to help prospects project costs and benefits would help with TCO/ROI. Additional information about Information Builders and partner services would help improve Validation. And Information Builders could perform even better in Capability with additional planning analyses and collaboration. Capabilities that support the sharing of — and communication on — output from analytical processes are important because they help organizations maximize the value of their analytics investments. Information Builders’ WebFOCUS supports sharing and emailing analyses, alerts and notifications, commenting on analyses and posting to discussion groups. Some of these features are provided via integration with third-party products. Information Builders’ Capability ranking would be improved with support for assigning and monitoring tasks as well as providing social recognition for contributions. Once analytics are embedded in business processes and applications, analyses are easier to perform and more accessible to line-of-business personnel. More than half of organizations (53%) report their users of analytics tools cannot perform their own analyses without IT involvement. Information Builders’ WebFOCUS offers embedding content using REST APIs via the Java Portlet Specification support or iFrames. WebFocus also exposes its data models to other visualization tools via open database connectivity and Java database connectivity. The user interface and branding can be modified for white labeling. Custom visualizations can be implemented using JavaScript. Information Builders could perform better in Capability with some additional visualizations, more natural language processing and more machine language assistance. A mobile workforce expects to conduct business in any location at any time. Workers today expect mobile capabilities, so organizations must make choices to provide analytics platforms that can deliver. The WebFOCUS mobile applications are installed as native applications on iOS and Android devices. Other devices can access content in the web programming language known as HTML5 via the browser. Information Builders is one of the few vendors evaluated that provides interactivity on mobile devices even when offline. More information and tools to help prospects project costs and benefits would help with TCO/ROI. This assessment was based on Information Builders’ analytics products available at end of December in 2020 ̶ WebFocus 8.2.0.7. Since our assessment, Information Builders has released several updates to WebFocus including: Advanced searching for analyses and objects in the content repository rather than a simple, string-based search; Bookmarking to capture filter settings and return to a display in its modified form; Hosting of the help system on Information Builders’ servers, which provides smaller installations, making the product easier to install and maintain; Licensing changes that make it easier to access all of the features of WebFocus across an entire organization. Additional information about the latest releases is posted here. Organizations should evaluate data and analytics requirements including collaborative, embedded and mobile capabilities to ensure the existing solutions are meeting the organization’s needs. If existing solutions are not satisfying those requirements, consider whether Information Builders and a relationship with its new owner, TIBCO can help meet data and analytics requirements. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_TIBCO%20Information%20Builders%20is%20Named%20an%20Innovative%20Vender%20in%202021%20Value%20Index.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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": "MicroStrategy Earns Value Index Rating of Exemplary in Analytics and Data", "mainEntityOfPage": "https://davidmenninger.isg-research.net/microstrategy-earns-value-index-rating-of-exemplary-in-analytics-and-data", "datePublished": "03/06/2021", "dateModified": "03/06/2021", "articleBody": "We are happy to share some insights about MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated MicroStrategy and 17 other vendors in seven categories: five relevant to the product – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the vendor – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Business Intelligence. MicroStrategy is a publicly traded BI software vendor that has been offering its products and services for decades. It was categorized as an Exemplary Vendor and ranked second overall in this Value Index evaluation. MicroStrategy performed its best in Usability and was a Value Index Leader and first in Product Experience and within Usability, Reliability where it was first, and Adaptability. MicroStrategy’s product includes a broad set of capabilities across many of the evaluation criteria in this assessment. While the product has primarily been offered on-premises, the company recently introduced a cloud-based service as well. Data is stored and managed in source databases coupled with a caching layer to enhance performance. The most significant recent advancement was the introduction of HyperIntelligence, which makes MicroStrategy analytics available via automated hyperlinks in web browsers, productivity tools and business applications. Our assessment still finds room for improvement. MicroStrategy would perform better with additional collaboration and better support for predictive analytics and planning capabilities. It would also benefit from better information about the customer experience it offers and depth in its support for TCO/ROI in the information and tools it provides. Analytics almost universally involves collaboration among a team of individuals. Interpreting the results of the analyses, choosing a course of action and tracking the implementation of those actions spans multiple roles and even multiple departments within an organization. As a result, most of today’s analytics and business intelligence products support some form of collaboration. MicroStrategy supports sharing and emailing analyses, alerts and notifications, commenting on analyses and posting to discussion groups. HyperIntelligence also provides additional ways to share and collaborate in analytics processes by making analyses available in a variety of contexts. Assigning tasks and tracking them to completion would improve MicroStrategy’s Capability ranking, as would better ways to communicate and share the strategy and mission of the organization. Analytics embedded within applications can more easily lead to action. We expect that by 2022, more than one-half of line-of-business personnel will have immediate access to cross-functional analytics embedded in their activities and processes, helping to make operational decision-making more efficient and effective. MicroStrategy offers developers JavaScript application programming interfaces for embedding content in other applications. It provides libraries for managing, customizing and rebranding various aspects of the product. MicroStrategy also exposes REST APIs and URL references with parameters. MicroStrategy would perform better in the Capability category with a few additional visualizations, better natural language processing and more machine learning assistance. Many workers switch between desktop/laptop devices when in the office to mobile devices when outside the office, so integration between these two modes is important. Nearly two-thirds of organizations (65%) provide analytics support for both smartphones and tablets. MicroStrategy Mobile is available as a native application for iOS and Android devices. The product provides a wide range of analytics and is one of the few products that supports updates to data from mobile devices. It provides offline access with interactivity and supports native features from the device, including camera integration and location awareness. MicroStrategy also offers its HyperIntelligence HyperCard capabilities via native iOS and Android applications. MicroStrategy would perform better with additional collaboration and better support for wearables. This assessment was based on MicroStrategy’s analytics products available in December of 2020. MicroStrategy has released several updates since then that include additional capabilities. For instance, new collaborative capabilities are available for discussions with individuals or groups. The Android mobile application has been enhanced to support additional gestures. There are a few new visualizations including waterfall charts and Sankey diagrams. Other new enhancements are noted here. Organizations should evaluate their data and analytics requirements including collaborative, embedded and mobile capabilities to ensure the existing solutions are meeting the organization’s needs. If their existing solutions are not satisfying those requirements, they should consider whether MicroStrategy can help meet their needs. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_DM_MicroStrategy%20Earns%20Value%20Index%20Rating%20of%20Exemplary%20in%20Analytics%20and%20Data.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.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 is Exemplary and Leader in Analytics and Data Value Index", "mainEntityOfPage": "https://davidmenninger.isg-research.net/ibm-is-exemplary-and-leader-in-analytics-and-data-value-index", "datePublished": "02/06/2021", "dateModified": "02/06/2021", "articleBody": "We are happy to share some insights about IBM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Data 2021, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on analytics and business intelligence focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern BI, we developed specific criteria to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use. In all of our Value Indexes, we utilize a structured research methodology that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal and vendor selection process for analytics and business intelligence. We evaluated IBM and 17 other vendors in seven categories: five relevant to the product – Adaptability, Capability, Manageability, Reliability and Usability – and two related to the vendor – Total Cost of Ownership/Return on Investment and Vendor Validation. To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our Benchmark Research on Analytics and Business Intelligence. IBM, one of the largest providers of technology products and services, has been providing BI capabilities for decades. It was categorized as an Exemplary Vendor and ranked first overall in this Value Index evaluation. IBM was a Value Index Leader in Customer Experience; within TCO/ROI; in Product Experience; and within Capability and Manageability, where it was first in both categories. IBM also performed well in the Usability category. IBM Cognos Analytics runs on-premises and has recently been expanded to include a cloud offering. A variety of relational, multidimensional and XML data sources are supported. Data can be loaded into Cognos Analytics or accessed dynamically using a caching layer. As a leader in the Capability category, Cognos Analytics offers one of the broadest sets of analytics among the products evaluated. Cognos Analytics has recently been redesigned with a new user experience that incorporates machine learning assistance and insights into many parts of the analytics process. Additional integration among the various parts of the analytics portfolio would make it easier to use Cognos Analytics. IBM would have performed better in the Adaptability category with more support for integration into business processes and applications. The Validation rating would improve if more specific information about services related to Cognos Analytics were easily accessible to prospects. Most of today’s analytics and business intelligence products support some form of collaboration. Capabilities that support the sharing of — and communication on — output from analytical processes are important because they help organizations maximize the value of their analytics investments. As the leader in this assessment, IBM Cognos Analytics offers a wide variety of collaborative capabilities. It supports sharing and emailing analyses, alerts and notifications, assigning tasks with an approval process, commenting on analyses and posting to discussion groups. Some of these features are provided via integration with third-party products. A calendar view of tasks and the ability to organize tasks into workflows would help improve IBM’s Capability ranking. Analytics vendors understand the need to deliver embedded analytics; most have been developing and enhancing APIs and other mechanisms to more tightly integrate analytics into business processes and applications. However, it can be challenging for analytics and BI vendors to package and deliver their capabilities in a way that makes them easy to embed into other applications and processes. IBM Cognos Analytics provides REST APIs and JavaScript APIs to enable embedding and extending analytics. It also provides a URL for interacting with Cognos components and a command line interface. Custom visualizations can be developed using JavaScript. The user interface can be customized to reflect corporate branding. Despite being the top performer, a few additional visualizations and analytical functions would have improved IBM’s rating in the Capability category. Vendors must provide rich mobile access to analytics to support a mobile workforce seeking to conduct business in any location at any time. More than two-fifths (45%) of organizations report that it is important or very important to be able to address data preparation tasks on mobile devices. IBM’s Cognos Analytics mobile application runs natively on iOS devices. It has been completely redesigned since our last evaluation and offers a good complement to the desktop and browser-based versions. In addition to a wide variety of visualizations, it supports natural language capabilities as well as communication and collaboration with others. IBM would have performed better in Adaptability with more support for integration into business processes and applications. This assessment was based on IBM’s analytics products available at end of December 2020. Shortly after our evaluation, IBM released a version for Android devices and additional types of Cognos installations. Organizations should evaluate their data and analytics requirements including collaborative, embedded and mobile capabilities to ensure the existing solutions are meeting the organization’s needs. If their existing solutions are not satisfying those requirements, they should consider whether IBM can help meet their needs. This research-based index is the most comprehensive assessment of the value of analytics and BI software in the industry. Technology buyers can learn more about how to use our Value Index by clicking here, and included vendors that wish to learn more can click here. Read the report here. 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David Menninger's Analyst Perspectives