David Menninger's Analyst Perspectives | Information Applications

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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/analytics-and-data/data-operations" class="minimal-mobile-menu-link"><span>Data 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/analytics-and-data/data-platforms" class="minimal-mobile-menu-link"><span>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/analytics-and-data/streaming-and-events" class="minimal-mobile-menu-link"><span>Streaming & Events</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/artificial-intelligence" class="minimal-mobile-menu-link"><span>Artificial Intelligence</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/artificial-intelligence/computer-vision" class="minimal-mobile-menu-link"><span>Computer Vision</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.ventanaresearch.com/focus/artificial-intelligence/deep-learning" class="minimal-mobile-menu-link"><span>Deep Learning</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/artificial-intelligence/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/artificial-intelligence/mlops" class="minimal-mobile-menu-link"><span>Machine Learning 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/artificial-intelligence/model-building-and-llm" class="minimal-mobile-menu-link"><span>Model Building & Large Language Models</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/artificial-intelligence/natural-language-processing" class="minimal-mobile-menu-link"><span>Natural Language Processing</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/customerexperience" class="minimal-mobile-menu-link"><span>Customer Experience</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/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 href="https://www.isg-research.net/vertical-industry/manufacturing" class="minimal-mobile-menu-link"><span>Manufacturing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/media-entertainment" class="minimal-mobile-menu-link"><span>Media & Entertainment</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/real-estate" class="minimal-mobile-menu-link"><span>Real Estate</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/retail" class="minimal-mobile-menu-link"><span>Retail</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/research" class="minimal-mobile-menu-link"><span>Research</span></a></span> <ul class="minimal-mobile-menu-submenu level-2"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/research/market-agendas" class="minimal-mobile-menu-link"><span>Market Agendas</span></a></span> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://blog.ventanaresearch.com/" class="minimal-mobile-menu-link"><span>Analyst Perspectives</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://davidmenninger.ventanaresearch.com/" class="minimal-mobile-menu-link"><span>David Menninger</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://jefforr.ventanaresearch.com/" class="minimal-mobile-menu-link"><span>Jeff Orr</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://keithdawson.isg-research.net" class="minimal-mobile-menu-link"><span>Keith Dawson</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://marksmith.ventanaresearch.com/" class="minimal-mobile-menu-link"><span>Mark Smith</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://mattaslett.isg-research.net" class="minimal-mobile-menu-link"><span>Matt Aslett</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://matthewbrown.isg-research.net" class="minimal-mobile-menu-link"><span>Matthew Brown</span></a></span> </li> <li 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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/david-menninger/2016/08/18/denodo-makes-data-virtualization-relevant-to-big-data-and-analytics">Denodo Makes Data Virtualization Relevant to Big Data and 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">18 August 2016 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/virtualizationtrending.jpg?width=200&name=virtualizationtrending.jpg" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/virtualizationtrending.jpg?width=100&name=virtualizationtrending.jpg 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/virtualizationtrending.jpg?width=200&name=virtualizationtrending.jpg 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/virtualizationtrending.jpg?width=300&name=virtualizationtrending.jpg 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/virtualizationtrending.jpg?width=400&name=virtualizationtrending.jpg 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/virtualizationtrending.jpg?width=500&name=virtualizationtrending.jpg 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/virtualizationtrending.jpg?width=600&name=virtualizationtrending.jpg 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Data virtualization is not new, but it has changed over the years. The term describes a process of combining data on the fly from multiple sources rather than copying that data into a common repository such as a data warehouse or a data lake, which <u><a href="https://davidmenninger.ventanaresearch.com/2016/05/11/data-lakes-safe-way-to-swim-in-big-data/" target="_blank">I have written about</a></u>. There are many reasons for an organization concerned with managing its data to consider data virtualization, most stemming from the fact that the data does not have to be copied to a new location. It could, for instance,...</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2016/08/18/denodo-makes-data-virtualization-relevant-to-big-data-and-analytics"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://davidmenninger.isg-research.net/topic/data-lake">Data Lake</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data-virtualization">Data Virtualization</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/david-menninger/2016/03/25/informatica-advances-big-data-management-for-data-preparation-and-hadoop">Informatica Advances Big Data Management for Data Preparation and Hadoop</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 March 2016 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.png?width=200&name=vr_big_data_analytics_20-hadoop_for_big_data_analytics.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.png?width=100&name=vr_big_data_analytics_20-hadoop_for_big_data_analytics.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.png?width=200&name=vr_big_data_analytics_20-hadoop_for_big_data_analytics.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.png?width=300&name=vr_big_data_analytics_20-hadoop_for_big_data_analytics.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.png?width=400&name=vr_big_data_analytics_20-hadoop_for_big_data_analytics.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.png?width=500&name=vr_big_data_analytics_20-hadoop_for_big_data_analytics.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.png?width=600&name=vr_big_data_analytics_20-hadoop_for_big_data_analytics.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>On Monday, March 21, Informatica, a vendor of information management software, <a href="http://www.informatica.com/about-us/news/news-releases/2016/03/20160321-informatica-launches-intelligent-data-lake.html" target="_blank">announced</a> Big Data Management version 10.1. My colleague Mark Smith <a href="//marksmith.ventanaresearch.com/2015/12/16/informatica-navigates-carefully-to-broader-data-management/" target="_blank">covered the introduction of v. 10.0</a> late last year, along with Informatica’s expansion from data integration to broader data management. Informatica’s Big Data Management 10.1 release offers new capabilities, including for the hot topic of self-service data preparation for Hadoop, which Informatica is calling Intelligent Data Lake. The term “data...</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2016/03/25/informatica-advances-big-data-management-for-data-preparation-and-hadoop"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</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/informatica">Informatica</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/uncategorized">Uncategorized</a>, <a href="https://davidmenninger.isg-research.net/topic/stratahadoop">Strata+Hadoop</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/david-menninger/2016/03/11/sas-analytics-juggernaut-keeps-on-truckin">SAS Analytics Juggernaut Keeps on Truckin’</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">11 March 2016 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png?width=200&name=vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png?width=100&name=vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png?width=200&name=vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png?width=300&name=vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png?width=400&name=vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png?width=500&name=vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png?width=600&name=vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-1.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>I recently attended the SAS Analyst Summit in Steamboat Springs, Colo. (<a href="http://twitter.com/hashtag/sassb" target="_blank">Twitter Hashtag #SASSB</a>) The event offers an occasion for the company to discuss its direction and to assess its strengths and potential weaknesses. SAS is privately held, so customers and prospects cannot subject its performance to the same level of scrutiny as public companies, and thus events like this one provide a valuable source of additional information.</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2016/03/11/sas-analytics-juggernaut-keeps-on-truckin"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/sas">SAS</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/uncategorized">Uncategorized</a>, <a href="https://davidmenninger.isg-research.net/topic/visualization">Visualization</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/david-menninger/2016/02/26/spark-summit-shows-momentum-in-adoption-of-apache-spark">Spark Summit Shows Momentum in Adoption of Apache Spark</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">26 February 2016 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.png?width=200&name=vr_big_data_analytics_19_important_areas_of_big_data_analytics.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.png?width=100&name=vr_big_data_analytics_19_important_areas_of_big_data_analytics.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.png?width=200&name=vr_big_data_analytics_19_important_areas_of_big_data_analytics.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.png?width=300&name=vr_big_data_analytics_19_important_areas_of_big_data_analytics.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.png?width=400&name=vr_big_data_analytics_19_important_areas_of_big_data_analytics.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.png?width=500&name=vr_big_data_analytics_19_important_areas_of_big_data_analytics.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.png?width=600&name=vr_big_data_analytics_19_important_areas_of_big_data_analytics.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Last week I attended <u><a href="http://spark-summit.org/east-2016/" target="_blank">Spark Summit East 2016</a></u> at the New York Hilton Midtown. It revealed several ways in which Spark technology might impact the big data market.</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2016/02/26/spark-summit-shows-momentum-in-adoption-of-apache-spark"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/in-memory">In-memory</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/uncategorized">Uncategorized</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/david-menninger/2016/02/08/research-agenda-using-business-analytics-to-make-the-most-of-data-in-2016">Research Agenda: Using Business Analytics to Make the Most of Data in 2016</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">07 February 2016 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png?width=200&name=vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png?width=100&name=vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png?width=200&name=vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png?width=300&name=vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png?width=400&name=vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png?width=500&name=vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png?width=600&name=vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Throughout the course of our research in 2016, we’ll be exploring ways in which organizations can maximize the value of their data. Ventana Research believes that analytics is the engine and data is the fuel to power better business decisions. Several themes emerged from our benchmark research on incorporating data and analytics into organizational processes, and we will follow them in our 2016 Business Analytics Research Agenda:</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2016/02/08/research-agenda-using-business-analytics-to-make-the-most-of-data-in-2016"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/operational-intelligence">Operational Intelligence</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/david-menninger/2012/03/16/information-management-technology-revolution-and-research-agenda-for-2012">Information Management Technology Revolution and Research Agenda for 2012</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 March 2012 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span style="font-size: small;"><span style="font-family: Verdana;">In our definition, information management encompasses the acquisition, organization, dissemination and use of information by organizations to create and enhance business value. Effective information management ensures optimal access, relevance, timeliness, quality and security of this data with the aim to improve organizational performance. This goal is not easily met, especially as organizations acquire ever more data at an ever faster pace. In our <span style="text-decoration: underline;"><a title="business analytics benchmark research" href="//www.ventanaresearch.com/BAM" target="_blank">business analytics benchmark research</a></span> of more...</span></span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/03/16/information-management-technology-revolution-and-research-agenda-for-2012"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/data-quality">Data Quality</a>, <a href="https://davidmenninger.isg-research.net/topic/master-data-management">Master Data Management</a>, <a href="https://davidmenninger.isg-research.net/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://davidmenninger.isg-research.net/topic/complex-event-processing">Complex Event Processing</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-life-cycle-management">Information Life Cycle Management</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/it-performance-management-itpm">IT Performance Management (ITPM)</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/david-menninger/2011/12/15/talend-5-unifies-information-management-platform">Talend 5 Unifies Information Management 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">15 December 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span style="font-family: Verdana;">Talend <span style="text-decoration: underline;"><a title="recently announced version 5" href="http://www.talend.com/press/Talend-s-New-Unified-Platform-Brings-Industry-s-First-Holistic-Integration-Solution-to-the-Enterprise-Supports-Shifts-to-Cloud-and-Big-Data.php" target="_blank">recently announced version 5</a></span> of its information management platform, which emphasizes unifying its various components. Through a combination of development activities, acquisitions and partnerships, Talend has been steadily building its portfolio of information management capabilities. In addition to its core data integration capabilities, it has added data quality, master data management, <span style="text-decoration: underline;"><a title="application integration" href="http://davidmenningervr.wordpress.com/2010/12/10/talend-pushes-boundaries-of-open-source-software-model/" target="_blank">application integration</a></span> and with this release business process management (BPM).</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2011/12/15/talend-5-unifies-information-management-platform"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-research.net/topic/data-quality">Data Quality</a>, <a href="https://davidmenninger.isg-research.net/topic/master-data-management">Master Data Management</a>, <a href="https://davidmenninger.isg-research.net/topic/talend">Talend</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://davidmenninger.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/stratahadoop">Strata+Hadoop</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/david-menninger/2011/11/30/kalido-directs-data-governance">Kalido Directs Data Governance</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">30 November 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span style="font-family: Verdana;">Kalido <span style="text-decoration: underline;"><a title="recently introduced version 9" href="http://www.kalido.com/8d78cfe2-4d2a-463b-b0ee-1edb4c958838/news-and-events-press-center-press-releases-detail.htm" target="_blank">recently introduced version 9</a></span> of its Information Engine product. The company has been around for 10 years but has had difficulty establishing its identity in the information management market. Kalido was perhaps ahead of its time, partly a vendor of data integration, partly master data management and partly data governance. As an example of the positioning challenge, its core product, Information Engine, while not a data integration tool, could in some cases provide sufficient...</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2011/11/30/kalido-directs-data-governance"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/data-quality">Data Quality</a>, <a href="https://davidmenninger.isg-research.net/topic/data-warehousing">Data Warehousing</a>, <a href="https://davidmenninger.isg-research.net/topic/master-data-management">Master Data Management</a>, <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://davidmenninger.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/kalido">Kalido</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/david-menninger/2011/10/20/oracle-invests-into-information-applications-by-acquiring-endeca">Oracle Invests Into Information Applications by Acquiring Endeca </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">20 October 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span style="font-family: Verdana;">In a move that may indicate the beginning of a new wave of activity in the business intelligence (BI) market, Oracle has <span style="text-decoration: underline;"><a title="announced" href="http://www.oracle.com/us/corporate/press/517791" target="_blank">announced</a></span> its intention to acquire <span style="text-decoration: underline;"><a title="Endeca" href="//www.ventanaresearch.com/blog/www.endeca.com" target="_blank">Endeca</a></span>. Founded in 1999, Endeca originally focused on search capabilities for online commerce. Users selected a product attribute, and the software automatically revised the remaining selection criteria based on products matching the previous selection. We have <span style="text-decoration: underline;"><a title="been covering Endeca" href="//www.ventanaresearch.com/blog/commentblog.aspx?id=1748" target="_blank">been covering Endeca</a></span> as part of the BI and information applications marketing....</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2011/10/20/oracle-invests-into-information-applications-by-acquiring-endeca"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/sales-performance">Sales Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-research.net/topic/supply-chain-performance">Supply Chain Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-research.net/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/workforce-performance">Workforce Performance</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/david-menninger/2011/10/07/steve-jobs-leaves-an-indelible-mark-on-business-intelligence">Steve Jobs Leaves an Indelible Mark on Business Intelligence</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">07 October 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>About 30 years ago, perhaps on this very day, I was sitting in front of an Apple II working on a VisiCalc spreadsheet. At the time, I don’t think I even knew who Steve Jobs was. I wasn’t in the software industry yet. I was working for a public accounting firm. The Apple II sat in a corner of the office “typing pool.” For those of you who don’t know what a typing pool was, there was no swimming involved – it was a group of full-time employees with dedicated equipment who did all the typing and...</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2011/10/07/steve-jobs-leaves-an-indelible-mark-on-business-intelligence"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/mobile">Mobile</a>, <a href="https://davidmenninger.isg-research.net/topic/sales-performance">Sales Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-research.net/topic/supply-chain-performance">Supply Chain Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/sustainability">Sustainability</a>, <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/business-mobility">Business Mobility</a>, <a href="https://davidmenninger.isg-research.net/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-research.net/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-research.net/topic/location-intelligence">Location Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/visualization">Visualization</a>, <a href="https://davidmenninger.isg-research.net/topic/it-performance-management-itpm">IT Performance Management (ITPM)</a> <hr> </div> <script> // Check active classes var checkClass = function() { if ( $('.fil_item').hasClass('hide') ) { $('.fil_item').removeClass('hide'); 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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, 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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, 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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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dir="ltr">(9)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2019/02">February 2019 <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2019/01">January 2019 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2018/12">December 2018 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2018/11">November 2018 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2018/10">October 2018 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2018/09">September 2018 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2018/02">February 2018 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/12">December 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/11">November 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/09">September 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/08">August 2017 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/07">July 2017 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/06">June 2017 <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/05">May 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/04">April 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/03">March 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/archive/2017/02">February 2017 <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a 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/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 href="https://davidmenninger.isg-research.net/topic/governance-risk">Governance & Risk <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC) <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/greenplum">Greenplum <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/hadoop">Hadoop <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/hortonworks">Hortonworks <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/hp">HP <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/hpe">HPE <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/human-capital-management">Human Capital Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/ibm">IBM <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/ibm-spss">IBM SPSS <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/ibm-watson">IBM Watson <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/in-memory">In-memory <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/in-memory-computing">In-Memory Computing <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/inetsoft">InetSoft <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/infor">Infor <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/infor-birst">Infor Birst <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/informatica">Informatica <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/informatica-hparser">Informatica HParser <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/informatica-world">Informatica World <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/information-applications">Information Applications <span class="filter-link-count" dir="ltr">(15)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/information-builders">Information Builders <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/information-life-cycle-management">Information Life Cycle Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management <span class="filter-link-count" dir="ltr">(89)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/information-management-im">Information Management (IM) <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/information-optimization">Information Optimization <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/information-technology">Information Technology <span class="filter-link-count" dir="ltr">(11)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/infosphere">InfoSphere <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/internet-of-things">Internet of Things <span class="filter-link-count" dir="ltr">(26)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/iot">IOT <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/it-analytics">IT Analytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/it-performance-management-itpm">IT Performance Management (ITPM) <span class="filter-link-count" dir="ltr">(23)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/it-service-management">IT Service Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/itil">ITIL <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/itsm">ITSM <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/kalido">Kalido <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/karmasphere">Karmasphere <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/kognitio">Kognitio <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/kxen">KXEN <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/location-intelligence">Location Intelligence <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/looker">looker <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/machine-data">Machine data <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/machine-learning">Machine Learning <span class="filter-link-count" dir="ltr">(11)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/machine-learning-and-cognitive-computing">Machine Learning and Cognitive Computing <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/machine-learning-digital-technology">Machine Learning Digital Technology <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/machine-learning-operations">Machine Learning Operations <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mapr">MapR <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mapreduce">MapReduce <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/marketing">Marketing <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/master-data-management">Master Data Management <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mdx">MDX <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/microsoft">Microsoft <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/microsoft-azure">Microsoft Azure <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/microstrategy">MicroStrategy <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mlops">MLOps <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mobile">Mobile <span class="filter-link-count" dir="ltr">(10)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mobile-analytics">Mobile Analytics <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mobile-business-intelligence">Mobile Business Intelligence <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mobile-computing">mobile computing <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mobile-intelligence">Mobile Intelligence <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mobile-technology">Mobile Technology <span class="filter-link-count" dir="ltr">(18)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mobility">Mobility <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/model-building-and-large-language-models">Model Building and Large Language Models <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/mpp">MPP <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/natural-language">Natural Language <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing <span class="filter-link-count" dir="ltr">(46)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/natural-language-query">Natural Language Query <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/netapp">NetApp <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/netezza">Netezza <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/nlg">NLG <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/nlp">NLP <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/nosql">NoSQL <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/odpi">ODPI <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/office-of-finance">Office of Finance <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/olap">OLAP <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/operational-data-plaftforms">operational data plaftforms <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/operational-intelligence">Operational Intelligence <span class="filter-link-count" dir="ltr">(22)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/operations-supply-chain">Operations & Supply Chain 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href="https://davidmenninger.isg-research.net/topic/planning">Planning <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/predictive-analytics">Predictive Analytics <span class="filter-link-count" dir="ltr">(26)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/predictive-planning">Predictive Planning <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/predixion">Predixion <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/process-mining">Process Mining <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/qlik">Qlik <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/qlik-qonnections">Qlik Qonnections <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/qlik-sense">Qlik Sense <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/qlikview">QlikView <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/r">R <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/rd">R&D <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/rdbms">RDBMS <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/real-time">Real-time <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/retail-analytics">Retail Analytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/revenue-management">revenue management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/revolution-analtyics">Revolution Analtyics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/robotic-automation">robotic automation <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/saas">SaaS <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/sales">Sales <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/sales-engagement">sales engagement <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/sales-performance">Sales Performance <span class="filter-link-count" dir="ltr">(35)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/sales-performance-management">Sales 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/salesforce-com">Salesforce.com <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/sap">SAP <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/sas">SAS <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/semantic-model">semantic model <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/soa">SOA <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/social-media">Social Media <span class="filter-link-count" dir="ltr">(38)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/software">Software <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/software-as-a-service">Software as a Service <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/software-evaluation">software evaluation <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/splunk">Splunk <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/spotfire">Spotfire <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/strata-data-conference">Strata Data Conference <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/stratahadoop">Strata+Hadoop <span class="filter-link-count" dir="ltr">(19)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/streaming-analytics">Streaming Analytics <span class="filter-link-count" dir="ltr">(15)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/streaming-data">Streaming Data <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/streaming-data-events">Streaming Data & Events <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/subscription-management">Subscription Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/supply-chain-performance">Supply Chain Performance <span class="filter-link-count" dir="ltr">(37)</span></a> 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"@context": "http://schema.org", "@type": "BlogPosting", "headline": "Denodo Makes Data Virtualization Relevant to Big Data and Analytics", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2016/08/18/denodo-makes-data-virtualization-relevant-to-big-data-and-analytics", "datePublished": "18/08/2016", "dateModified": "18/08/2016", "articleBody": "Data virtualization is not new, but it has changed over the years. The term describes a process of combining data on the fly from multiple sources rather than copying that data into a common repository such as a data warehouse or a data lake, which I have written about. There are many reasons for an organization concerned with managing its data to consider data virtualization, most stemming from the fact that the data does not have to be copied to a new location. It could, for instance, eliminate the cost of building and maintaining a copy of one of the organization’s big data sources. Recognizing these benefits, many database and data integration companies offer data virtualization products. Denodo, one of the few independent, best-of-breed vendors in this market today, brings these capabilities to big data sources and data lakes. Google Trends presents a graphic representation of the decline of the popularity of the term data federation and the rise in popularity of the term data virtualization over time. The change in terminology corresponds with a change in technology. The industry has evolved from a data federation approach to today’s cost-based optimization approach. In a federated approach, queries are sent to the appropriate data sources without much intelligence about the overall query or the cost of the individual parts of the federated query. Each underlying data source performs its portion of the workload as best it can and returns the results. The various parts are combined and additional post-processing performed if necessary, for example to sort the combined result set. Denodo takes a different approach. Its tools consider the costs of each part of the individual query and evaluate trade-offs. As the saying goes, there’s more than one way to skin a cat; in this case there’s more than one way to execute a SQL statement. For example, suppose you wish to create a list of all sales of a certain set of products. Your company has 1,000 products (maintained in one system) and hundreds of millions of customer transactions (maintained in another system). The federated approach would bring both data sets to the federated system, join them and then find the desired subset of products. An alternative would be to ship the table of 1,000 products to the system that holds the customer transactions, load it as a temporary table and join it to the customer transaction data to identify the desired subset before sending the product data back to its source. Today’s data virtualization evaluates the costs in time of the two alternatives and selects the one that would produce the result set the fastest. Data virtualization can make it easier, and therefore faster, to set up access to data sources in an organization. Using Denodo users connect to existing data sources, which become available as a virtual resource. In the case of data warehouses or data lakes, this virtual representation is often referred to as a logical data warehouse or a logical data lake. No matter how hard you work to consolidate data into a central repository, there are often pieces of data that have to be combined from multiple data sources. We find that such issues are common. In our big data integration benchmark research one-fourth (26%) of organizations said that data virtualization is a key activity for their big data analytics, yet only 14 percent said that they have adequate data virtualization capabilities. Not all the work is eliminated by data virtualization. You must still design the logical model for the data that you want to provide, such as which tables and which columns to include, but that’s all. Virtualization eliminates load processes and the need to update the data. In the case of big data, there are no extra clusters to set up and maintain. The logical data warehouse or data lake uses the security and governance system already in place. As a result, users can avoid some of the organizational battles about data access since the “owner” of the data continues to maintain the rights and restrictions on the data. Our research shows that organizations that have adequate data virtualization capabilities are more often satisfied with the way their organization manages big data than are organizations as a whole (88% vs. 58%) and are more confident in the data quality of their big data integration efforts (81% vs. 54%). In its most recent release, version 6.0, Denodo enhanced its cost-based query optimizer for data virtualization. Many of the optimizer’s features would be found in any decent relational database management system, but the challenge becomes greater when the underlying resources are scattered among multiple systems. To address this issue Denodo collects and maintains statistics about the various data sources that are evaluated at run time to determine the optimal way to execute queries. The product offers connectivity to a variety of data sources, both structured and unstructured, including Hadoop, NoSQL, documents and websites. It can be deployed on premises, in the cloud using Amazon Web Services or in a hybrid configuration. Performance can be a key factor in user acceptance of data virtualization; users will balk if access is too slow. Denodo has published some benchmarks showing that performance of its product can be nearly identical to accessing data loaded into an analytical database. I never place much emphasis on vendor benchmarks as they may or may not reflect an actual organization’s configuration and requirements. However, the fact that Denodo produces this type of benchmark indicates its focus on minimizing the performance overhead associated with data virtualization. When I first looked at Denodo, prior to the 6.0 release, I expected to see more optimization techniques built into the product. There’s always room for improvement, but with the current release the company has made great strides and addressed many of these issues. In order to maximize the software’s value to customers, I’d like to see the company invest in developing more technology partnerships with providers of data sources and analytic tools. Users would also find it valuable if Denodo could help manage and present consolidated lineage information. Not only do users need access to data, they need to understand how data is transformed both inside and outside Denodo. If your organization is considering data virtualization technology, I recommend you evaluate Denodo. The company won the 2015 Ventana Research Technology Innovation Award for Information Management, and its customer Autodesk won the 2015 Leadership Award in the Big Data Category. If your organization is deluged with big data but is not considering data virtualization, it probably should be. As our research shows, it can lead to greater satisfaction with and more confidence in the quality of your data. Regards, David Menninger SVP & Research Director Follow Me on Twitter @dmenningerVR and Connect with me on LinkedIn.", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/virtualizationtrending.jpg", "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": "Informatica Advances Big Data Management for Data Preparation and Hadoop", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2016/03/25/informatica-advances-big-data-management-for-data-preparation-and-hadoop", "datePublished": "24/03/2016", "dateModified": "24/03/2016", "articleBody": "On Monday, March 21, Informatica, a vendor of information management software, announced Big Data Management version 10.1. My colleague Mark Smith covered the introduction of v. 10.0 late last year, along with Informatica’s expansion from data integration to broader data management. Informatica’s Big Data Management 10.1 release offers new capabilities, including for the hot topic of self-service data preparation for Hadoop, which Informatica is calling Intelligent Data Lake. The term “data lake” describes large collections of detailed data from across an organization, often stored in Hadoop. With this release Informatica seeks to add more enterprise capabilities to data lake implementations. This is the latest step in Informatica’s big data efforts. The company has been investing in Hadoop for five years, and I covered some of its early efforts. The Hadoop market has been evolving over that time, growing in popularity and maturing in terms of information management and data governance requirements. Our big data benchmark research has shown increases of more than 50 percent in the use of Hadoop, with our big data analytics research showing 37 percent of participants in production. Building on decades of experience in providing technology to integrate and manage data in data marts and data warehouses, Informatica has been extending these capabilities to the big data market and Hadoop specifically. The Intelligent Data Lake capabilities are the most significant features of version 10.1. They include self-service data preparation, automation of some data integration tasks, and collaboration features to share information among those working with the data. The concept of self-service data preparation has become popular of late. Our big data analytics research shows that preparing data for analysis and reviewing it for quality and consistency are the two most time-consuming tasks, so making data preparation easier and faster would benefit most organizations. Recognizing this market opportunity, several vendors are competing in this space; Informatica’s offering is called REV. With version 10.1 the Big Data Management product will have similar capabilities, including a familiar spreadsheet-style interface for working with and blending data as it is loaded into the target system. However, the REV capabilities available as part of Informatica’s cloud offering are separate from those in Big Data Management 10.1. They require separate licenses and there is no upgrade path or option as a result sharing work between the two environments is limited. Informatica faces two challenges with self-service: how well users view its self-service capabilities and user interface vs. those of their competitors and whether analysts and data scientists will be inclined to use Informatica’s products since they are mostly targeted at the data preparation process rather than the analytic process. The collaborative capabilities of 10.1 should help organizations with their information management processes. Our most recent findings on collaboration come from our data and analytics in the cloud research, which shows that only 30 percent of participants are satisfied with their collaborative capabilities. The new release enables those who are working with the data to tag it with comments about what they found valuable or not, note issues with data quality and point others toward useful transformations they have performed. This type of information sharing can help reduce some of the time spent on data preparation. Ideally these collaboration capabilities could be surfaced all the way through the business intelligence and analytic process, but Informatica would have to do that through its technology partners since it does not offer products in those markets. Version 10.1 includes other enhancements. The company has made additional investments in its use of Apache Spark both for performance purposes and for its machine-learning capabilities. I recently wrote about Spark and its rise in adoption. More transformations are implemented in Spark than in Hadoop’s MapReduce, which Informatica claims speeds up the processing by up to 500 percent. It also uses Spark to speed up the matching and linking processes in its master data management functions. I should note that although Informatica is adopting these open source technologies, its product is not open source. Much of big data development is driven by the open source community, and that presents an obstacle to Informatica. Our next-generation predictive analytics research shows that Apache Hadoop is the most popular distribution, with 41 percent of organizations using or planning to use this distribution. Informatica itself does not provide a distribution of Hadoop but partners with vendors that do. Whether Informatica can win over a significant portion of the open source community remains a question. Whether it has to is another. In positioning release 10.1 the company describes the big data use cases as arising alongside conventional data warehouse and business intelligence use cases. This release includes a “live data map” that monitors data landing in Hadoop (or other targets). The live data map infers the data format (such as social security numbers, dates and schemas) and creates a searchable index on the type of data it has catalogued; this enables organizations to easily identify, for instance, all the places where personally identifiable information (PII) is stored. They can use this information to ensure that the appropriate governance policies are applied to this data. Informatica has also enhanced its security capabilities in Big Data. Its Secure@Source product, which won an Innovation Award from Ventana Research last year , provides enterprise visibility and advanced analytics on sensitive data threats. The latest version adds support for Apache Hive tables and Salesforce data. Thus for applications that require these capabilities a more secure environment is available. The product announcement was timed to coincide with the Strata Hadoop conference, a well-attended industry event that many vendors use to gain maximum visibility for such announcements. However, availability of the product release is planned for the second quarter of 2016. As an organization matures in its use of Hadoop, it will need to apply proper data management and governance practices. With version 10.1 Informatica is one of the vendors to consider in meeting those needs. Regards, David Menninger SVP & Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_big_data_analytics_20-hadoop_for_big_data_analytics.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": "SAS Analytics Juggernaut Keeps on Truckin’", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2016/03/11/sas-analytics-juggernaut-keeps-on-truckin", "datePublished": "11/03/2016", "dateModified": "11/03/2016", "articleBody": "I recently attended the SAS Analyst Summit in Steamboat Springs, Colo. (Twitter Hashtag #SASSB) The event offers an occasion for the company to discuss its direction and to assess its strengths and potential weaknesses. SAS is privately held, so customers and prospects cannot subject its performance to the same level of scrutiny as public companies, and thus events like this one provide a valuable source of additional information. SAS has been a dominant player in the analytics marketplace for years, celebrating its 40th anniversary this year and reporting US$3.16 billion in 2015 revenue. Both of these are significant accomplishments in the software market. And while validation of vendors – including the company’s viability – often ranks as the least important of the seven product evaluation criteria in our benchmark research, SAS’s ranks as one of the most commonly used tools for predictive analytics: One-third (33%) of participants in our predictive analytics benchmark research use it. The company provides a very broad technology stack including information management, business intelligence, and many types of analytics and visualization. In addition, SAS offers domain-specific applications built on top of these capabilities. A quick count on the products and solutions page on its website shows hundreds of entries, and SAS executives at the event asserted that the company will generate more than 100 releases this year. So one challenge for customers, as with any other large vendor, is navigating through this maze to find something that suits their needs. Also a vendor with a large portfolio is generally not as nimble as one with fewer products. On the other hand a large vendor can more easily manage the interdependencies between products for its customers. That is, if an organization licenses a variety of products from multiple vendors it often falls to the buyer to keep different versions from different vendors in synch. At this year’s event, big data was much less prominent on the agenda than in the past. Over the last several years SAS has made significant investments in big data, supporting Hadoop and in-memory processing to create a scalable, high-performance infrastructure. This year it focused on end-user tools and prebuilt applications for working with data and analytics. In particular, SAS presenters identified three areas of focus in its technology investments: analytics, data management and visualization. My colleague Mark Smith has written about the importance of visual discovery. SAS delivers visualization capabilities through its Visual Analytics product line, in which it continues to invest. A speaker claimed that more than 14,000 servers were licensed to run Visual Analytics as of 2015, up from 8,400 in 2014. SAS will be combining the capabilities of Visual Explorer and Visual Designer to create a more unified user experience. The company also is introducing visual data preparation features that enable users to explore and profile data as part of the data integration and transformation process. No analysis should overlook SAS’s core competency of analytics. I was impressed with its demonstrations of automated evaluation and selection of different predictive analytics algorithms as part of its visualization capabilities. Visual Analytics offers a modern, intuitive user interface for analyzing big data set, but it has only limited collaboration capabilities. Our big data analytics benchmark research finds more than three in four respondents (78%) consider collaboration as important or very important. SAS will need to make further investments to support collaboration. SAS continues to advance another product, Visual Investigator, which it plans to bring to market more broadly in 2016. Announced last year as part of the Security Intelligence products, it is targeted at what SAS calls the “intelligence analyst,” a role between business analyst and data scientist. This tool has great potential as a standalone product as it combines critical components of tasks, activities, cases, and taking action that have broad appeal across all analytic roles and beyond fraud and security investigations. At the event, several analysts questioned SAS executives about the impact of open source systems on the company. This was a hot topic generating much discussion. Executives acknowledged that the company has lost ground to open source systems in the educational market and in response has reinvigorated its efforts there. The SAS University Edition is available for download and on Amazon Web Services. It is also available in a cloud-based offering called SAS On Demand for Academics. Dozens of universities that offer masters of analytics programs are working with SAS to help address the shortage of skilled analytics resources. Our Next Generation Predictive Analytics research shows that lack of skills training and knowledge of the mathematics involved in predictive analytics are significant obstacles to users producing their own analyses, cited by 79% and 66% of participants respectively. It is wise for SAS to invest in supporting these programs. If your organization wants to hire or train additional resources, these programs may be a valuable resource. On the technology front, executives pointed out that SAS has embraced open source systems, with support for Linux, Hadoop and the Python and Lua programming languages. However, it does not plan to support R, which is used by more than half (58%) of participants in our predictive analytics research . The company also plans to introduce a set of open application programming interfaces (APIs) to encourage more developers to work with SAS and create a marketplace of third-party products. The key will be whether the collection of these efforts makes a significant impact on the developer community, which is where open source tools often gain their foothold in organizations. At a minimum I expect SAS will need to offer a “freemium” version of products if it really wants to win over the development community. This event provides a valuable window into SAS’s performance and strategy. The company has proven its staying power and ability to be a relatively fast follower of industry trends to remain competitive in the constantly evolving business intelligence and analytics landscape. For organizations that consider expanding their use of analytics, I recommend placing SAS on the list of vendors they evaluate. Regards, David Menninger SVP & Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_ng_predictive_analytics_16_why_users_dont_produce_predictive_analyses-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": "Spark Summit Shows Momentum in Adoption of Apache Spark", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2016/02/26/spark-summit-shows-momentum-in-adoption-of-apache-spark", "datePublished": "26/02/2016", "dateModified": "26/02/2016", "articleBody": "Last week I attended Spark Summit East 2016 at the New York Hilton Midtown. It revealed several ways in which Spark technology might impact the big data market. Apache Spark is an open source data processing engine designed for large-scale computing. Spark is often used in conjunction with the open source Apache Hadoop, but it can be used with other data sources as well such as Cassandra, MongoDB and Amazon S3. The creators of Spark founded Databricks, which drives the roadmap for Spark and leads community evangelism including organizing the Spark Summit events. According to Arsalan Tavakoli-Shiraji, VP of customer engagement and business development for Databricks, the company contributes approximately 75 percent of the code to the Spark project. If you are wondering why Spark matters, consider that in June 2015, IBM announced that it would put more than 3,500 researchers and developers on Spark-related projects and would donate its IBM SystemML machine-learning technology to the Spark open source ecosystem. This scale of investment is likely to attract others in the industry, and interest in Spark is growing elsewhere, too. In his keynote presentation Matei Zaharia, co-founder and CTO of Databricks, claimed that summit attendees (across multiple locations) grew from 1,100 in 2014 to 3,900 in 2015. I was told by event staff that the New York event alone, including preconference training sessions, exhibitors and sponsors, had approximately 1,500 attendees, doubling attendance from the previous year. This is where it starts to feel like, in the words of Yogi Berra, déjà vu all over again. In 2010 and 2011 I attended and wrote about events held in the very same venue. At the time, interest was growing in something called “Hadoop,” which, according to our recent benchmark research on big data analytics, has now grown to the point where it is used by 37 percent of organizations to process their big data analytics. Recently there has been a lot of buzz around Spark, including speculation that Spark could replace Hadoop. Just search for “Spark replace Hadoop” and see how many pages come up. However, this is off target: Spark won’t replace Hadoop, in particular because it is not designed to store data. Rather it is designed to be used in conjunction with data storage tools such as the Hadoop Distributed File System (HDFS). Spark does, however, address a shortcoming in one part of Hadoop: MapReduce. MapReduce was designed to process very large amounts of data in parallel to speed up processing, but it was designed for batch processing. As big data has grown in popularity, more and more users are accessing it and demanding interactive access to data regardless of its volume. More than half (54%) of participants in our research rated right-time and real-time analytics as important, and nearly half (48%) rated visual and data discovery important. Spark’s fundamental performance advantage over MapReduce lies in being designed to process data in memory to the extent possible. Spark can be used to provide real-time analytic capabilities on big data. Spark has several components that provide those capabilities. Spark Streaming provides real-time capabilities for processing streaming data, that is, data being generated constantly. Spark SQL provides interactive query capabilities on structured data. And Spark ML provides machine-learning capabilities that can be used to build analytical models including predictive analytics. Our research shows that predictive analytics and statistics are the most important area of big data analytics, cited by more than three-fourths (78%) of participants. At the conference Databricks announced Spark 2.0, planned for release in April or May. It will have three primary sets of enhancements. What is presently called Tungsten phase 2 improves performance of Spark with native memory management and better run-time code generation. Structured streaming combines real-time processing with batch and interactive queries. And the merging of APIs for DataFrame and DataSets will enable a single programming paradigm to be used for streaming and structured data. There is a rich ecosystem developing around Spark. A variety of vendors attended the show including several of the Hadoop distribution vendors (Cloudera, Hortonworks, IBM and MapR) demonstrating and talking about how they support Spark. Analytic vendors including Alpine Data, Platfora, SAP, Stratio and Zoomdata demonstrated products that use Spark to provide interactive analytics over large amounts of data. Full-day training sessions that were part of the agenda were oversubscribed, with packed rooms and registration spots sold out on the event’s website. The event was clearly focused on a technical audience, and a look through conference keynotes reveals many code snippets. However, this technical focus does not suggest a lack of business purpose in Spark applications. Use cases were also represented in the conference agenda, and future events may attract more business users. The popularity of the event and the acceptance of Spark by the Hadoop community and vendors suggest that Spark is here to stay – at least for the foreseeable future. If you are working with or plan to work with big data, it would be worthwhile to understand how Spark can be incorporated into your architecture, either directly as part your own programming efforts or via third-party tools to use in conjunction with big data. Regards, David Menninger SVP & Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_big_data_analytics_19_important_areas_of_big_data_analytics.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": "Research Agenda: Using Business Analytics to Make the Most of Data in 2016", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2016/02/08/research-agenda-using-business-analytics-to-make-the-most-of-data-in-2016", "datePublished": "07/02/2016", "dateModified": "07/02/2016", "articleBody": "Throughout the course of our research in 2016, we’ll be exploring ways in which organizations can maximize the value of their data. Ventana Research believes that analytics is the engine and data is the fuel to power better business decisions. Several themes emerged from our benchmark research on incorporating data and analytics into organizational processes, and we will follow them in our 2016 Business Analytics Research Agenda: Analytics enabling continuous optimization Streamlining analytics with data and information technology Digital technologies transforming analytics for business. Organizations generate data continuously, and they should analyze and refine it continuously – that is, optimize it – to improve their actions, decisions and processes. Our research shows predictive analytics to be a key tool for such optimization and indicates the convergence of analytics with applications to accomplish these goals. Nearly half (49%) of participants in our next-generation predictive analytics benchmark research said they prefer to deploy their predictive analytics within business applications to enable real-time execution. Finding that more than nine out of 10 (92%) participants plan to deploy more predictive analytics, we will monitor the role of data science and analytics teams in these activities. We will also follow how the exploration of big data sets intersects with the discovery portion of analytic processes. Organizations need to use data and information technology better to streamline analytics. Our research suggests that they will need to invest in data preparation for analytics, as three out of five (62%) participants identified accessing and preparing data as a challenge in their predictive analytics process. The same percentage (62%) cited accessing and integrating data as a main reason for dissatisfaction with their analytic processes. Organizations can address some of these challenges in gaining access to information by virtualizing data. We also will follow the progress of organizations in using cloud-based technologies to help streamline their analytics; more than three-fourths (76%) of participants in our data and analytics in the cloud benchmark research said that accessing data from cloud-based systems is important. We will continue to investigate and report on these topics in the course of planned benchmark research on data preparation. Other digital technologies will impact analytics for business. More than four-fifths (82%) of organizations in our data and analytics in the cloud research can access and review data and analytics on mobile devices. Simplification of mobile technologies can speed access to an organization’s information, yet access alone is not sufficient. We will track developments in collaboration across the organization to enable action on analytics. The Internet of Things (IoT) – the network of devices, vehicles, buildings and other items that are embedded with electronics, software, sensors and connectivity – brings data and in-motion challenges due to the combination of large volumes of information and requirements for low latency in processing. We will be studying these topics in our Internet of Things and Operational Intelligence benchmark research. Finally, we will follow the evolution of natural-language processing and cognitive systems as methods for searching and presenting information to ordinary business users. We’ll be studying these issues and more throughout the year. Please download and review our full Business Analytics agenda. I invite you to participate in this research as it is conducted during the year. I look forward to sharing the insights it provides and to helping your organization apply those insights to its business needs. Regards, David Menninger SVP & Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_ng_predictive_analytics_08_time_spent_in_predictive_analytic_process.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": "Information Management Technology Revolution and Research Agenda for 2012", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/03/16/information-management-technology-revolution-and-research-agenda-for-2012", "datePublished": "16/03/2012", "dateModified": "16/03/2012", "articleBody": "In our definition, information management encompasses the acquisition, organization, dissemination and use of information by organizations to create and enhance business value. Effective information management ensures optimal access, relevance, timeliness, quality and security of this data with the aim to improve organizational performance. This goal is not easily met, especially as organizations acquire ever more data at an ever faster pace. In our business analytics benchmark research of more than 2,600 organizations, almost half (45%) have to integrate six or more types of data in their analyses. More than two-thirds reported that they spend more time preparing data than analyzing it. To assist in dealing with these sorts of issues and others, we’ve laid out an ambitious information management research agenda for 2012. In recent years the complexity of information management has risen dramatically. The volume of information being processed has increased exponentially and so have the challenges of ensuring consistency and quality and managing governance and the information life cycle. New data types and sources such as comments on social media have emerged and must be integrated into an organization’s information assets. Moreover, in many cases the boundaries between organizations and the outside world with which they interact have become far less distinct, leading to the need for a more expansive understanding of information management. Our Business Data in the Cloud research shows that data is seldom stored in only one repository; the majority of organizations (86%) need to bring together cloud-based data and on-premises data. We will provide new insights on the dynamics of the information management market as we complete research on Information Management Trends. This research will illuminate the priorities organizations place on data quality, master data management and data governance. It will also explore ways in which organizations are incorporating virtualization and replication for broader and faster data access. The growing volumes and sources of data will require data integration that can help facilitate better linkages across IT and into business. We will assess the vendors and products in a Value Index for Data Integration that will determine what suppliers can be best fit for your enterprise. Our research will also help organizations facilitate adoption of and use of big-data technologies. Our recently published Big Data research highlights the role of various technology alternatives for managing data on a large scale. More than 80 percent of organizations utilize more than one technology to tackle their big-data challenges, but organizations lack maturity when incorporating these data sources. Specifically, our research shows that business have not adapted many of their standard processes to deal with big data. We’ll follow up this research by looking at specific vendor capabilities and how they can help extend information management processes to support big data. Data is increasing not only in volume but in velocity as well – the speed with which data is generated and communicated. Technological developments such as smart meters, RFID, sensors and embedded computing devices for environmental monitoring, surveillance and other purposes are creating demand for tools that can derive insights from huge, continuous streams of event data coming into systems in real time. Traditional database systems are geared to manage discrete sets of data for standard BI queries, but event streams from sources such as sensing devices typically are continuous and their analysis requires different kinds of tools that enable users to understand causality, patterns, time relationships and other complex factors. These requirements have led to innovations in complex event processing, event stream processing, event modeling, visualization and analytics. We’ll be exploring how organizations can capitalize on real-time data collection and analysis in our benchmark research on operational intelligence and complex event processing. We will also assess vendors and products in a Value Index to determine the value of vendor offerings in Operational Intelligence to harvest the events from these streams of data. Information management continues to be a strategic business imperative. It can help organizations improve their understanding and use of enterprise information and to establish governance of it. To accomplish these aims they must manage the flow of information throughout the full life cycle of data and provide proper data stewardship to support the business while minimizing risk. We need to better use the information through a simpler means of being able to assemble and deploy it to those in business who might even want to receive it through mobile technologies. This is what we call information applications that can help in timely access to information and should be coupled with an information management discipline. Our research will deliver education and best practices that can help you understand how to reduce the costs, time and risk of delivering these capabilities to your organization. It will be a big year for information management in the forms of technology but also the methods and processes for which to manage and utilize the full value of it within organizations. I look forward to connecting with all of you on LinkedIn or following me on Twitter. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "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": "Talend 5 Unifies Information Management Platform", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2011/12/15/talend-5-unifies-information-management-platform", "datePublished": "15/12/2011", "dateModified": "15/12/2011", "articleBody": "Talend recently announced version 5 of its information management platform, which emphasizes unifying its various components. Through a combination of development activities, acquisitions and partnerships, Talend has been steadily building its portfolio of information management capabilities. In addition to its core data integration capabilities, it has added data quality, master data management, application integration and with this release business process management (BPM). In its progress, Talend has exploited the open source model well. Not only has it developed a large community of users for its free version, but it has successfully used awareness and interest in the open source product to build a community of 2,500 paying customers for the commercial versions of its products. The open source concept also has influenced Talend’s acquisition and partnership strategy. Sopera, acquired by Talend last year, was an open source vendor, and the BPM capabilities in version 5 are based on a partnership created 18 months ago with open source vendor BonitaSoft. Like other software vendors in the information management market, Talend developed its portfolio as independent products, which resulted in an array of somewhat disjointed capabilities. This problem was made worse with the acquisition of a completely independent set of products from Sopera. Customers should welcome Talend’s efforts in version 5 to create a unified information management platform. Our ongoing research in information management investigates the importance of capabilities such as data integration, data quality, master data management and application integration. Other vendors are combining these capabilities as well, but Talend has chosen to go further by adding BPM capabilities. Too many software vendors and enterprise IT departments expect customer organizations to adapt their business processes to how technology products work rather than the other way around. This misguided approach is the central theme of my post “What Is Wrong with Business Intelligence?”, and these same issues affect information management. I expect more vendors to embrace BPM as a way to combine business intelligence and information management into business processes. With this release Talend also extends its big-data and cloud capabilities, which can be complementary. Our Business Data in the Cloud benchmarkresearch shows the importance of cloud-based data sources. Within 12 months 40 percent or more of eight different lines of business will be using cloud-based applications. Talend’s new cloud capabilities include connectors for Amazon RDS instances of Oracle and MySQL. Talend 5 also includes a REST interface for applications that require or support it. Our Hadoop and Information Management benchmark research shows that over half the organizations tackling big-data issues are using or evaluating Hadoop to meet those challenges, and in this release Talend extends its big-data capabilities to support HBase, a database component for Hadoop, and continuous streaming of information into or out of the Hadoop Distributed File System (HDFS). On a minor note, Talend has renamed its open source products around the “Open Studio” theme. So now each of the four products are named “Talend Open Studio for…”. The open source version of BPM is available from BonitaSoft, so it doesn’t follow this same convention. Now that Talend has unified its information management products, one of its remaining challenges will be to compete with integrated BI and information management suites. End users need information such as metadata and lineage to flow through both sets of products freely. But can an independent vendor provide the same level of integration as a suite vendor? Informatica, one of Talend’s competitors in the information management market, has shown that it is possible to succeed as an independent vendor. It will be important for Talend to maintain close partnerships with as many of the BI vendors as possible so it can fully support the features end users require. Based on customer growth, it appears that Talend is succeeding with its current strategy. The new release should make the products both easier to use and more broadly applicable. If you are looking for an information management platform independent of your database, applications and BI environments, I recommend considering Talend. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "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": "Kalido Directs Data Governance", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2011/11/30/kalido-directs-data-governance", "datePublished": "30/11/2011", "dateModified": "30/11/2011", "articleBody": "Kalido recently introduced version 9 of its Information Engine product. The company has been around for 10 years but has had difficulty establishing its identity in the information management market. Kalido was perhaps ahead of its time, partly a vendor of data integration, partly master data management and partly data governance. As an example of the positioning challenge, its core product, Information Engine, while not a data integration tool, could in some cases provide sufficient capabilities to meet an organization’s data integration needs. Its real value, however, comes from authoring and management of information about the user’s data warehouse. Information Engine introduces an abstraction layer that separates the physical design of a warehouse from its logical design. Its repository holds information about the data model used in data warehouses and data marts, as well as the associated processes of managing the warehouse life cycle. This includes information about measures, hierarchies, aggregates, change management routines, security and auditing. By looking at the data warehouse as a process rather than a physical implementation of a data model, Kalido can help organizations manage processes that enhance data governance. For example, workflows with approvals and audit trails are a natural by-product of this process-based approach. With version 9, Kalido continues to speed up data warehouse implementations. It pushes more of the processing down into the underlying database, which supports extract, load and transform (ELT) processes rather than the more conventional extract, transform and load (ETL). Doing more processing in the database using ELT eliminates the need to move the data twice: once to a transformation engine and then again to the data warehouse. The key change to support ELT in the new release is the introduction of staging tables, where data can land and be transformed before being loaded into the appropriate data warehouse tables. Version 9 also has more data integration features and additional testing capabilities. Kalido also offers master data management (MDM) capabilities across multiple domains, derived from the process-driven approach of Information Engine. Kalido MDM provides separate interfaces for data stewards as well as users of the master data. Data stewards, who oversee the master data processes, can define and perform data matching, identity resolution, validation and publication. Kalido provides connectors to Trillium and DataFlux software for external data validation and claims to be building them for products from others. Users of the master data can search through it, browse the data model and issue change requests. The most interesting aspect of the company’s process-driven approach is the ability to capture and apply data governance policies. As information management capabilities mature, organizations can focus more attention on data governance. Kalido has recognized this opportunity, and while for years its messaging has included data governance, only last year did it introduce Kalido Data Governance Director as a separate product. Data Governance Director uses a policy management metaphor in which organizations define their data governance policies as well as metrics to measure whether the policies are being enforced. Our benchmark research into data governance found that designing and maintaining policies and rules was the top objective for data governance in 75 percent of organizations and a current lack of satisfaction with current approaches. The research also found that a lack of sufficient policies was one of the top barriers towards a single version of data to leverage across the enterprise. We are currently conducting benchmark research on trends in information management to help us understand whether interest in data governance has risen, and to determine the relative priorities of other information management processes, including master data management, data integration and data quality. I expect we’ll see rising interest in data governance, which could bode well for products such as Kalido’s Data Governance Director. One of the challenges Kalido still faces is communicating its positioning clearly to the market. Information Engine 9 includes data integration features that make Kalido more competitive, yet the company does not attempt to compete directly in the data integration market – nor do I think it should. I would prefer to see more partnerships with those vendors, which would allow Kalido to focus where it can add the most value: managing the processes associated with data warehousing. In particular, Data Governance Director represents a unique approach that’s worth exploring. Even if your organization isn’t ready to purchase the product, you can probably learn something useful about data governance that you can apply to your own processes. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "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 Invests Into Information Applications by Acquiring Endeca", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2011/10/20/oracle-invests-into-information-applications-by-acquiring-endeca", "datePublished": "20/10/2011", "dateModified": "20/10/2011", "articleBody": "In a move that may indicate the beginning of a new wave of activity in the business intelligence (BI) market, Oracle has announced its intention to acquire Endeca. Founded in 1999, Endeca originally focused on search capabilities for online commerce. Users selected a product attribute, and the software automatically revised the remaining selection criteria based on products matching the previous selection. We have been covering Endeca as part of the BI and information applications marketing. For instance, if the products only come in one color, the color attribute would be removed from the selection criteria and possibly replaced by other relevant criteria. Most of us take this behavior for granted as it has been adopted or imitated by many e-commerce sites and other Web properties. More recently Endeca began applying its search and navigation capabilities to the business intelligence market with the introduction of Latitude which it positioned as a separate product line from its InFront e-commerce products to gain flexibility in rolling out new features. Both product lines were mentioned as being valuable in the acquisition process, but in my opinion without Latitude the deal would not have happened. As I’ve written before, end users understand and prefer search-based navigation, popularized by Google. BI vendors long since incorporated search capabilities into their products. However, BI search capabilities have been limited largely to structured data and metadata. Endeca cracked the code for searching both structured and unstructured data at an auspicious time. The proliferation of unstructured data has occurred in conjunction with explosive Internet use and the rise of Hadoop to manage large volumes. Our recent benchmark research shows that Hadoop users often work with unstructured data. In August Endeca announced that it had expanded Latitude to support Hadoop. Congratulations to the Endeca team: They spotted an opportunity and created an innovative solution leading to its acquisition. Beyond that success, there are implications for the broader market. We identified the importance of search capabilities and the need for business to assemble information into what our firm has defined as Information Applications for which our Information Applications benchmark research validated. I expect to see more activity and investment in making it easier for organizations to leverage unstructured data. Several other companies are drawing attention in this context. My colleague Mark Smith has written about Datawatch which has technology for extracting information from Adobe Acrobat, HTML and XML documents. Actuate acquired Xenos to incorporate similar capabilities as part of its BI product line and to be part of the larger demand for information and not just analytics. With its $10 billion valuation, the pending HP-Autonomy deal suggests that the importance of handling unstructured data has not yet peaked at least in the eyes of one investor which also is in the business of providing information based applications to its customers. Another company, MarkLogic, that my colleague assessed recently has also seen significant growth. Venture capitalists also are likely to invest more in this market. They tend to flock toward segments where some success has been proven but has not yet gone mainstream. As part of their portfolios of investments, many VCs want to have one or more companies that compete in the same market. The presence of more investment will also draw more startups into this segment, and thus the cycle of investment and acquisition will continue as suggested in my post on the software ecosystem. The result for enterprises will be positive as software companies deliver more information applications capable of helping them navigate more easily through increasing volumes of structured and unstructured information. Oracle is not new to information and applications, so the Endeca acquisition will compliment its Fusion middleware efforts that has been continuing to expand its footprint. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "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": "Steve Jobs Leaves an Indelible Mark on Business Intelligence", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2011/10/07/steve-jobs-leaves-an-indelible-mark-on-business-intelligence", "datePublished": "07/10/2011", "dateModified": "07/10/2011", "articleBody": "About 30 years ago, perhaps on this very day, I was sitting in front of an Apple II working on a VisiCalc spreadsheet. At the time, I don’t think I even knew who Steve Jobs was. I wasn’t in the software industry yet. I was working for a public accounting firm. The Apple II sat in a corner of the office “typing pool.” For those of you who don’t know what a typing pool was, there was no swimming involved – it was a group of full-time employees with dedicated equipment who did all the typing and word processing tasks of the office. We all have heard by now that Steve Jobs died this week. When I think about the influence he had on the technology market and business in general, I realize that although I never met the man, his influence has had a huge impact on my career and on all of us who work with business intelligence techniques and tools. The fact that an Apple II was in the office of a public accounting firm in 1981 was a remarkable accomplishment. I probably wouldn’t be in the software industry today if it wasn’t for that Apple II and VisiCalc. Our office used “electronic” spreadsheets to develop planning and allocation models. Now there are hundreds of millions of spreadsheet users whose activities can be traced back to Steve Jobs in some way. You can argue whether the spreadsheet or the Apple II or the combination brought IBM into the personal computer market, but Jobs had an influence here, too. The advent of the PC was the original “self-service BI” movement. Sure, spreadsheets have plenty of problems when applied to business intelligence, as identified in our business analytics benchmark research, but they also have many virtues that we have been trying to capture in other forms of business intelligence software ever since. Jobs and Apple always maintained twin focuses on design and innovation. The design of the physical product was part of the Apple experience, but the design of the user interface was even more important. Our whole way of interacting with information systems, including BI, has been shaped by the graphical user interface (GUI) in part because of the Mac OS. It may not have been the first one, but Apple put a GUI into the hands of end users who saw the possibilities and clamored for more. Ironically, Microsoft Word and Excel first appeared in GUI form on the Mac while the PC versions were still on DOS character-based applications. Spurred by the Mac’s graphical environment, Microsoft took the Windows path that resulted in its own GUI-based operating system. While Microsoft Windows may have enjoyed more commercial success than Mac OS, many still consider Apple’s offering superior in terms of the end-user experience. Regardless of your choice of operating system, BI users wanted and vendors were able to deliver improved GUIs, which now enable users to navigate and visualize large amounts of information more easily than they might have otherwise. And Jobs has left an indelible mark on the mobile computing market. With that same focus on design and innovation, the iPhone and iPad transformed and invigorated the mobile BI market. They fundamentally changed the value of mobile devices, taking them beyond just reading and responding to email. Offered a rich user experience, employees were willing to buy their own devices and bring them along to work. Eventually iPads started showing up in executives’ hands. IT organizations were forced to incorporate these devices into their corporate networks. Users wanted mobile BI, and BI vendors were forced to adapt their products to these new form factors. Our research also shows that 70 percent of organizations either have deployed some type of mobile business intelligence or would like to in the near future. Without stretching much, we can attribute partly to the legacy of Steve Jobs our desire to be connected 24 hours a day and to connect socially via our smartphones and tablets. His influence on these devices made the experience fun and enjoyable. Now collaboration via social media is a regular form of communication. The full impact of these changes is still being borne out in the market, but we are beginning to see an impact on BI. So while Steve Jobs is gone and will be missed, his influence on the BI market will live on. Let’s hope the seeds of innovation that he planted will continue to grow and benefit our lives. 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David Menninger's Analyst Perspectives | Information Applications