David Menninger's Analyst Perspectives

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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/2012/03/27/research-uncovers-keys-to-using-predictive-analytics">Research Uncovers Keys to Using Predictive 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">27 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-family: Verdana; font-size: small;">As a technology, predictive analytics has existed for years, but adoption has not been widespread among businesses. In our recent benchmark research on business analytics among more than 2,600 organizations, predictive analytics ranked only 10th among technologies they use to generate analytics, and only one in eight of those companies use it. Predictive analytics has been costly to acquire, and while enterprises in a few vertical industries and specific lines of business have been willing to...</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/03/27/research-uncovers-keys-to-using-predictive-analytics"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/data-scientist">Data Scientist</a>, <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/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/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-research.net/topic/workforce-performance">Workforce Performance</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/2012/03/15/business-intelligence-revolution-and-research-agenda-for-2012">Business Intelligence 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">15 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;">For most people involved with business intelligence (BI), these are exciting times. Using BI to improve business processes continues to motivate organizations to invest in BI. The focus on BI also empowers business analytics and can be rented in the cloud computing model of accessing software. New technologies are adding dimensions to BI and creating both excitement and confusion for enterprises implementing them. We offer a variety of accomplished research that can help organizations overcome...</span></span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/03/15/business-intelligence-revolution-and-research-agenda-for-2012"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/mobile-business-intelligence">Mobile Business Intelligence</a>, <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/collaboration">Collaboration</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-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/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/2012/03/14/informatica-expands-data-footprint-for-business-and-it">Informatica Expands Data Footprint for Business and IT</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">14 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;">My colleague Mark Smith and I recently attended data integration vendor Informatica’s annual industry analyst event. The company offered some impressive numbers regarding growth and profitability over the years, with 30 consecutive quarters of growth even during the recent recession. Through acquisition and its own research and development activities Informatica now has a broad portfolio of products. It includes data integration and supporting migration, replication and synchronization needs,...</span></span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/03/14/informatica-expands-data-footprint-for-business-and-it"><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/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/cloud-computing">Cloud Computing</a>, <a href="https://davidmenninger.isg-research.net/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://davidmenninger.isg-research.net/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/informatica">Informatica</a>, <a href="https://davidmenninger.isg-research.net/topic/information-management">Information Management</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/2012/02/01/revolution-analytics-hosts-contest-on-business-predicting-the-future">Revolution Analytics Hosts Contest on Business Predicting the Future</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">01 February 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>Revolution Analytics recently <span style="text-decoration: underline;"><a href="http://www.revolutionanalytics.com/news-events/news-room/2012/revolution-analytics-announces-application-of-r-in-business-contest-winners.php" target="_blank">announced the winners</a></span> of its “Applications of R in Business” contest. Revolution Analytics has built a business around supporting R, an open source statistical software package, and extending it with features it licenses to customers. I served as a judge in the contest. Since I was in the midst of analyzing the data for our <span style="text-decoration: underline;"><a href="http://ventanaresearch.com/pat/" target="_blank">predictive analytics benchmark research</a></span>, I was interested to see how the contestants applied predictive analytics techniques to specific...</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/02/01/revolution-analytics-hosts-contest-on-business-predicting-the-future"><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/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/2012/02/01/technology-terminology-whats-in-a-name">Technology Terminology: What’s in a Name?</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">01 February 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-family: Verdana;">When it comes to technology, debates about whether a particular name suits its category are rampant. Here is a link to <span style="text-decoration: underline;"><a title="one such argument about the term “big data”" href="http://www.dbms2.com/2011/09/11/big-data-has-jumped-the-shark/" target="_blank">one such argument about the term “big data”</a></span> from Curt Monash, an analyst whom I respect a great deal. This debate rages in the Twittersphere also, as in <span style="text-decoration: underline;"><a title="this comment" href="http://twitter.com/#!/NeilRaden/statuses/117236703005130752" target="_blank">this comment</a></span> from Neil Raden, another analyst I respect, suggesting that “big data is a marketing term … imprecise by design.”  Another term I’ve encountered resistance to recently is “predictive analytics.” See: (<a title="“Revolution Analytics Hosts Contest on Business Predicting the Future“" href="//davidmenninger.ventanaresearch.com/2012/02/01/revolution-analytics-hosts-contest-on-business-predicting-the-future/" target="_blank">“Revolution...</a></span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/02/01/technology-terminology-whats-in-a-name"><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/cloud-computing">Cloud Computing</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/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/2012/01/31/the-big-cloudy-mobile-and-social-world-of-microstrategy">The Big, Cloudy, Mobile and Social World of MicroStrategy</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">31 January 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-family: Verdana;">MicroStrategy, one of the largest independent vendors of business intelligence (BI) software, recently held its <span style="text-decoration: underline;"><a title="annual user conference" href="http://www.microstrategy.com/microstrategyworld/" target="_blank">annual user conference</a></span>, which I attended with some of my colleagues and more than 2,000 other attendees. At this year’s event, the company emphasized four key themes: mobility, cloud computing, big data and social media. In this post, I’ll assess what MicroStrategy is doing in each of the first three areas. My colleague, Mark Smith, covered MicroStrategy’s social intelligence efforts...</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/01/31/the-big-cloudy-mobile-and-social-world-of-microstrategy"><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/microstrategy">MicroStrategy</a>, <a href="https://davidmenninger.isg-research.net/topic/mobile">Mobile</a>, <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/cloud-computing">Cloud Computing</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/workforce-performance">Workforce Performance</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/2012/01/25/big-data-is-more-than-hadoop">Big Data Is More than 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">25 January 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-family: Verdana;">We recently published the results of our benchmark research on <span style="text-decoration: underline;"><a title="Big Data" href="http://ventanaresearch.com/BGD/" target="_blank">Big Data</a></span> to complement the previously published benchmark research on <span style="text-decoration: underline;"><a title="Hadoop and Information Management" href="http://ventanaresearch.com/HIM/" target="_blank">Hadoop and Information Management</a></span>. </span><span style="font-family: Verdana;">Ventana Research undertook this research to acquire real-world information about levels of maturity, trends and best practices in organizations’ use of large-scale data management systems now commonly called Big Data. The results are illuminating.</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2012/01/25/big-data-is-more-than-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/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/in-memory">In-memory</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/2011/12/28/what-enterprises-can-learn-from-major-events-and-surprises-in-2011">What Enterprises Can Learn from Major Events and Surprises in 2011</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">28 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>Rather than make predictions for 2012, which are everywhere right now, I want to look back at some of the surprising events of 2011. I think it’s worth considering what happened that wasn’t expected and what these things might tell us about the information technology market. Here, in no particular order, are the most important ones I see.</p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2011/12/28/what-enterprises-can-learn-from-major-events-and-surprises-in-2011"><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/mobile">Mobile</a>, <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/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/2011/12/20/yellowfin-6-advances-collaboration-and-mobility-capabilities">Yellowfin 6 Advances Collaboration and Mobility Capabilities</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 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;">Collaborative and mobile technologies continue to influence business intelligence (BI) software products. The <span style="text-decoration: underline;"><a title="recent release of Yellowfin 6" href="http://www.yellowfinbi.com/YFNews-Yellowfin-6-on-market-Makes-BI-and-data-analysis-even-easier-109829" target="_blank">recent release of Yellowfin 6</a></span></span><span style="font-family: Verdana;"> embraces these innovations in a visually appealing, end-user-oriented BI product. Yellowfin is an independent BI software vendor based in Australia that was recently recognized, along with its customer Macquarie University, as a <span style="text-decoration: underline;"><a title="Ventana Leadership Award winner" href="http://www.yellowfinbi.com/YFNews-Yellowfin-Macquarie-University-earn-Ventana-Research-2011-BI-award-109824" target="_blank">Ventana Leadership Award winner</a></span></span><span style="font-family: Verdana;"> for the use of location–based aspects of its technology for effective planning and student...</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2011/12/20/yellowfin-6-advances-collaboration-and-mobility-capabilities"><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/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/collaboration">Collaboration</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/workforce-performance">Workforce Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/yellowfin">Yellowfin</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/2011/11/17/spotfire-4-0-is-socially-collaborative-and-interactive">Spotfire 4.0 is Socially Collaborative and Interactive</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">17 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;">Tibco recently <span style="text-decoration: underline;"><a title="introduced Spotfire 4.0" href="http://spotfire.tibco.com/about-spotfire/news-room/press-releases/2011/11_14_11-Spotfire4-0.aspx" target="_blank">introduced Spotfire 4.0</a></span>, the most recent version of its interactive discovery and business intelligence (BI) tool. Spotfire comes at BI through visualization. It uses in-memory processing and good user interface design to develop highly interactive displays of data. Version 4.0 attempts to enhance Spotfire’s dashboard capabilities and offers integration with enterprise collaboration tools. The former capabilities are necessary to broaden Spotfire’s appeal and applicability for...</span></p> </div> <a href="https://davidmenninger.isg-research.net/david-menninger/2011/11/17/spotfire-4-0-is-socially-collaborative-and-interactive"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/sales">Sales</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/spotfire">Spotfire</a>, <a href="https://davidmenninger.isg-research.net/topic/supply-chain-performance">Supply Chain Performance</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/chatter">Chatter</a>, <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-research.net/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-research.net/topic/dashboards">Dashboards</a>, <a href="https://davidmenninger.isg-research.net/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-research.net/topic/tibco">Tibco</a>, <a href="https://davidmenninger.isg-research.net/topic/twitter">Twitter</a>, <a href="https://davidmenninger.isg-research.net/topic/workforce-performance">Workforce Performance</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": "Research Uncovers Keys to Using Predictive Analytics", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/03/27/research-uncovers-keys-to-using-predictive-analytics", "datePublished": "27/03/2012", "dateModified": "27/03/2012", "articleBody": "As a technology, predictive analytics has existed for years, but adoption has not been widespread among businesses. In our recent benchmark research on business analytics among more than 2,600 organizations, predictive analytics ranked only 10th among technologies they use to generate analytics, and only one in eight of those companies use it. Predictive analytics has been costly to acquire, and while enterprises in a few vertical industries and specific lines of business have been willing to invest large sums in it, they constitute only a fraction of the organizations that could benefit from them. Ventana Research has just completed a benchmark research project to learn about how the organizations that have adopted predictive analytics are using it and to acquire real-world information about their levels of maturity, trends and best practices. In this post I want to share some of the key findings from our research. As I have noted, varieties of predictive analytics are on the rise. The huge volumes of data that organizations accumulate are driving some of this interest. Our Hadoop research highlights the intersection of this big data and predictive analytics: More than two-thirds (69%) of Hadoop users perform advanced analytics such as data mining. Regardless of the reasons for the rise, our new research confirms the importance of predictive analytics. Participants overwhelmingly reported that these capabilities are important or very important to their organization (86%) and that they plan to deploy more predictive analytics (94%). One reason for the importance assigned to predictive analytics is that most organizations apply it to core functions that produce revenue. Marketing and sales are the most common of those. The top five sources of data tapped for predictive analytics also relate directly to revenue: customer, marketing, product, sales and financial. Although participants are using predictive analytics for important purposes and are generally positive about the experience, they do not minimize its complexities. While now usable by more types of people, this technology still requires special skills to design and deploy, and in half of organizations the users of it don’t have them. Having worked for two different vendors in the predictive analytics space, I personally can testify that the mathematics of it requires special training. Our research bears this out. For example, 58 percent don’t understand the mathematics required. Although not a math major, I had always been analytically oriented, but to get involved in predictive analytics I had to learn new concepts or new ways to apply concepts I knew. Organizations can overcome these issues with training and support. Unfortunately, most are not doing an adequate job in these areas. Not half (44%) said their training in predictive analytics concepts and techniques is adequate, and fewer than one-fourth (24%) provide adequate help desk resources. These are important places to invest because organizations that do an adequate job in these two areas have the highest levels of satisfaction with their use of predictive analytics; 89% of them are satisfied vs. 66% overall. But we note that product training is not the most important type. That also correlated to higher levels of satisfaction, but training in concepts and the application of those concepts to business problems showed stronger correlation. Timeliness of results also has an impact on satisfaction. Organizations that use real-time scoring of records occasionally or regularly are more satisfied than those that use real-time scoring infrequently or not at all. Our research also shows that organizations need to update their models more frequently. Almost four in 10 update their models quarterly or less frequently, and they are less satisfied with their predictive analytics projects than those who update more frequently. In some ways model updates represent the “last mile” of the predictive analytics process. To be fully effective, organizations need to build predictive analytics into ongoing business processes so the results can be used in real time. Using models that aren’t up to date undermines the whole effort. Thanks to our sponsors, IBM and Alpine Data Labs, for helping to make this research available. And thanks to our media sponsors, Information Management, KD Nuggets and TechTarget, for helping in gaining participants and promoting the research and educating the market. I encourage you to explore these results in more detail to help ensure your organization maximizes the value of its predictive analytics efforts. 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": "Business Intelligence Revolution and Research Agenda for 2012", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/03/15/business-intelligence-revolution-and-research-agenda-for-2012", "datePublished": "15/03/2012", "dateModified": "15/03/2012", "articleBody": "For most people involved with business intelligence (BI), these are exciting times. Using BI to improve business processes continues to motivate organizations to invest in BI. The focus on BI also empowers business analytics and can be rented in the cloud computing model of accessing software. New technologies are adding dimensions to BI and creating both excitement and confusion for enterprises implementing them. We offer a variety of accomplished research that can help organizations overcome the hype and understand how to use these technologies to improve business decision-making, and we’re planning new research in 2012 on these topics. Big data continues to be one of hottest topics in the market. Every vendor wants to claim it has a solution for managing it. Multiple approaches exist to tackle the proliferation of huge volumes of data at accelerated paces, which we addressed recently in our Big Data benchmark research. We also see the pace of business forcing organizations to analyze data more frequently; one-fourth of research participants now analyze data hourly or even more often. In 2012 we will continue our research by exploring specific vendor offerings in big-data analytics. We’ll also be conducting new benchmark research into operational intelligence to explore how streaming data and event-based data impact organizations. The march to add mobile capabilities across smart-phones and tablets to business intelligence is becoming a stampede. Nearly every vendor I cover has added such capabilities or significantly enhanced those it already has. However, questions remain on the best ways to utilize mobile capabilities and which parts of the organization really need them. Our upcoming Next-Generation BI benchmark research will look at how businesses are utilizing mobile BI or intend to. In addition, it will examine how collaborative technologies are influencing BI processes and organizational decision-making. We’ve already seen the consumerization of collaborative BI. This research will explore how well businesses understand the intersection of collaborative technologies and social media with BI. Vendors such as QlikTech, Tibco Spotfire and Yellowfin recently enhanced their products with collaborative capabilities joining others like IBM and SAP who have advanced in collaboration capabilities with BI. As you consider your organization’s requirements, the best practices identified in this research will help you plan to incorporate these capabilities into your business processes. We also continue to explore the role of analytics, closely associated with BI. Next week we will share the results of our Predictive Analytics benchmark research Our published business analytics research shows only one-quarter of organizations using planning and forecasting and only 13 percent using predictive analytics. Yet nearly 80 percent said both of these capabilities are important or very important. Organizations need to address that gap to enhance their business decision-making abilities. Because business intelligence also is closely entwined with information management, I encourage you to review our Information Management research agenda as well. Almost one-third of organizations have more than 10 sources of data they have to integrate, and more than two-thirds spend more time preparing data than analyzing it. Without addressing these issues, no organization is likely to realize the full potential of business intelligence. Business intelligence continues to be a strategic business imperative. Our research will deliver education and best practices that can help you reduce the costs, time and risk of making the wrong choices or being uninformed of this strategic imperative. 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": "Informatica Expands Data Footprint for Business and IT", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/03/14/informatica-expands-data-footprint-for-business-and-it", "datePublished": "14/03/2012", "dateModified": "14/03/2012", "articleBody": "My colleague Mark Smith and I recently attended data integration vendor Informatica’s annual industry analyst event. The company offered some impressive numbers regarding growth and profitability over the years, with 30 consecutive quarters of growth even during the recent recession. Through acquisition and its own research and development activities Informatica now has a broad portfolio of products. It includes data integration and supporting migration, replication and synchronization needs, master data management, complex event processing and other elements of the information management spectrum. As at last year’s event, the company retains a sharp focus on the data integration related portfolio, and its product roadmap addresses four key themes impacting that market: big data, cloud computing, social media and mobile technology. We also see these themes as significant technology trends, and our approach is outlined in our 2012 research agendas for information management and in the larger business technology innovation agenda. Thus it was interesting to hear Informatica’s take on them. There is little question that the impact of data on a large scale is growing in organizations of all types. Our benchmark research on both big data and Hadoop shows the role these technologies play in processing large amounts of data and reveals the challenges organizations face in coping with huge volumes of data. Last fall Informatica introduced HParser to help organizations use Hadoop, and we expect more Hadoop capabilities in the upcoming release of Informatica 9.5, which is scheduled to be launched at Informatica World in May. Users of data integration products wonder whether Hadoop is replacing such tools. For its part, Informatica claims its license sales are expanding as a result of Hadoop and offered the example of JPMorgan Chase, which was shared last fall at Hadoop World. In his presentation, Larry Feinsmith of JPMorgan Chase explained that use of Informatica had actually increased in conjunction with its use of Hadoop. We do not find this result surprising, as our research shows that the majority of organizations (63%) are not replacing existing technologies with Hadoop but rather adding Hadoop to their data processing capabilities. Informatica is developing new capabilities as part of its 9.5 release to capitalize on this opportunity. With respect to cloud computing, Informatica was early to market, establishing a cloud presence with a separate division that delivers a subset of its product capabilities via the cloud. Our business data in the cloud benchmark research shows that organizations are expanding their use of cloud-based applications and services and that within two years cloud-based deployments of information management applications may rival on-premises deployments in numbers. In this context, Informatica stated its intent to offer its entire product line and all its capabilities via the cloud. Granted, delivering that will take some time but company officials said they expect to be able to complete this transition over the next couple of years. In reality, from Informatica’s perspective the transition to the cloud will produce a “hybrid IT” environment where some processing is done on premises and some via the cloud. Our research suggests that this will be the case in general: Half of organizations said they will move data from the cloud to on-premises systems in the future, and 42 percent expect to move data from their premises to cloud-based applications. For depth on Informatica’s social media efforts, look to Mark Smith’s post. But I will note that the rise of social media as a new and important data source provides Informatica with an opportunity to capitalize on as part of its expanding set of data integration capabilities. In the business landscape we tend to view mobile technology most often in the context of business intelligence, since it can be a valuable channel through which to deliver those capabilities. It is less likely that organizations would use mobile devices to author data integration routines or perform other information management tasks. However, the spread of mobile technologies is having an impact on information management. Organizations are rearchitecting their IT infrastructures to support mobile devices and also need to collect and process more location-based data for employees on the go. Mobile technology also creates new challenges for securing and governing access to data. In this area Informatica had little to say. While acknowledging these issues, it gave few specifics as to how its products will address them. Besides trends in big data, the cloud, social media and mobile technology, our research agenda also recognizes the influences of analytics and collaboration on business intelligence and information management. Informatica is at a disadvantage relative to some of the other major information management vendors with respect to analytics. IBM, Oracle, SAS and SAP all offer both information management and analytics products. In our research on business analytics more than two-thirds (69%) of participants said they spend more time preparing data than analyzing it. Vendors whose portfolios include capabilities to deal with both tasks are in a better position to integrate them and reduce the amount of time necessary to derive business value from the data. While Informatica makes its capabilities available as a service, for instance to tap into lineage information while using a business intelligence product, I’d like to see it produce tighter integration with third-party tools to tackle this important issue. Similarly, I’d like to see more specifics on Informatica’s collaboration strategy. The company demonstrated a prototype of collaboration around its Business Glossary product and discussed some collaboration capabilities grounded in the master data management process. As indicated in my previous post, we think many business intelligence and information management processes are moving to a more collaborative approach, so vendors need a plan here. Specifically, I think it is important to support market-leading collaboration technologies in order to attract a critical mass to create meaningful dialogue that would add value to the underlying processes. I expect we’ll hear more from Informatica on its plans for collaboration; these demonstrations were clearly early work in the field. Given the breadth of Informatica’s product offerings and its successful execution of sales, I recommend you consider them when evaluating your information management needs. Although this event was only for the analyst community, you can expect to hear more details as Informatica brings version 9.5 to market in the coming months. 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": "Revolution Analytics Hosts Contest on Business Predicting the Future", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/02/01/revolution-analytics-hosts-contest-on-business-predicting-the-future", "datePublished": "01/02/2012", "dateModified": "01/02/2012", "articleBody": "Revolution Analytics recently announced the winners of its “Applications of R in Business” contest. Revolution Analytics has built a business around supporting R, an open source statistical software package, and extending it with features it licenses to customers. I served as a judge in the contest. Since I was in the midst of analyzing the data for our predictive analytics benchmark research, I was interested to see how the contestants applied predictive analytics techniques to specific business problems. As I’ve written previously, predictive analytics is on the rise, despite the fact that the term is a bit of a misnomer. What software vendors, industry analysts and others call predictive analytics may be described more accurately as data mining. Data mining includes both predictive and descriptive analytics. Predictive analytics is used to predict future occurrences, such as the likelihood of an individual customer purchasing a particular product. Descriptive analytics is used to classify things (say, customers or products) into groups. These descriptive characteristics can be used in conjunction with predictive analytics to help produce more accurate predictions. For example, single male customers in group A may be more likely to purchase a particular product than single male customers in group B. Nevertheless, the market seems to have adopted “predictive analytics” to encompass the broader category of data mining. I’m comfortable with that use of the term, so here and elsewhere in my research, unless specified otherwise, I consider predictive analytics and data mining to be interchangeable labels. (See: “Technology Terminology: What’s in a Name?”) R, as a statistical package, includes many algorithms for predictive analytics, including regression, clustering, classification, text mining and other techniques. The contest submissions supported a variety of business cases, including, among others, predicting order amounts to optimize manufacturing processes, predicting marketing campaign effectiveness to optimize marketing spending, predicting liquid steel temperatures to optimize steel plant processes and performing sentiment analysis of Twitter data. The entries served to reinforce the notion that using predictive analytics requires specialized skills. Take a look at the entries above and ask how many people in your organization could perform those types of analyses. Despite the requirement for these additional skills, the demand for predictive analytics continues to rise. The entries show one of the reasons for this rise: the value that predictive analytics can provide. Imagine if you could redirect marketing spending from ineffective campaigns to more productive campaigns, or squeeze costs out of your manufacturing processes. The entries also demonstrated a best practice: close alignment between the analyst and the underlying business objectives. Predictive analytics is not magic. It requires an understanding of business processes and an understanding of statistical techniques. The judging criteria reflected this requirement as well. One of the three categories we were asked to score was applicability of the submission to business. I think it’s clear how the analyses in the winning entries could provide significant business value. If you are not yet applying predictive analytics, check out the submissions for examples of where you might apply them to your business; you can skip the implementation details. If you are using predictive analytics and understand the statistics involved, check out the submissions for suggestions of how you might enhance your own applications. In either case, keep an eye out for the results of our predictive analytics benchmark research to learn more about best practices and how others are using predictive analytics. 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": "Technology Terminology: What’s in a Name?", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/02/01/technology-terminology-whats-in-a-name", "datePublished": "01/02/2012", "dateModified": "01/02/2012", "articleBody": "When it comes to technology, debates about whether a particular name suits its category are rampant. Here is a link to one such argument about the term “big data” from Curt Monash, an analyst whom I respect a great deal. This debate rages in the Twittersphere also, as in this comment from Neil Raden, another analyst I respect, suggesting that “big data is a marketing term … imprecise by design.” Another term I’ve encountered resistance to recently is “predictive analytics.” See: (“Revolution Analytics Hosts Contest on Business Predicting the Future“). Having spent a large portion of my career developing and marketing software products, I am probably biased, but I see value in broad, easily understood – even if imprecise – terms. Such terms are inclusive rather than exclusive, and that allows more vendors to participate in the markets, prompting more competition, more debate and ultimately better products and more variety of products. Broad terms such as “big data” and “predictive analytics” are also easily understood, so potential buyers can get an immediate idea of how such categories might fit in their organization. The result is a bigger market for products, which in turn leads to more investment in the category. On the other hand, broad terms do create some confusion for buyers. Worse, some vendors corrupt the meanings of these terms, and too many jump on the bandwagon. So buyers have to do some homework, research the subject and understand what vendors have to offer. Yes, our business as analysts benefits from some of this confusion because we are hired to help with research and education, but organizations making a large technology purchase should be doing this anyway. The alternative – very precise and exclusive terms – might eliminate one type of confusion but would add another: an even greater proliferation of technology categories. A more precise approach would place a burden on buyers. In such a world, they would need to know which specific types of solutions to consider early in the buying cycle, and they might not find other categories that provide similar capabilities. The result would be lower overall adoption rates, smaller markets and less investment to help solve business problems with those technologies. So I like broader terms as the lesser evil. Besides, the market has spoken. While specific terms may be promoted by certain vendors or analysts, traction comes from widespread adoption. So go ahead, debate what these widely adopted terms mean. It will create a better understanding for all. Vendors, find a way to make your products relevant to a particular category. Venture capitalists, invest in a new startup that extends or alters or even replaces a category. In the end, we’ll all have to do a little work, but we’ll have wider selection of better products as a result. 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": "The Big, Cloudy, Mobile and Social World of MicroStrategy", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/01/31/the-big-cloudy-mobile-and-social-world-of-microstrategy", "datePublished": "31/01/2012", "dateModified": "31/01/2012", "articleBody": "MicroStrategy, one of the largest independent vendors of business intelligence (BI) software, recently held its annual user conference, which I attended with some of my colleagues and more than 2,000 other attendees. At this year’s event, the company emphasized four key themes: mobility, cloud computing, big data and social media. In this post, I’ll assess what MicroStrategy is doing in each of the first three areas. My colleague, Mark Smith, covered MicroStrategy’s social intelligence efforts in his blog. I’ll also share some opinions on what might be missing from the company’s vision. Michael Saylor, MicroStrategy’s CEO, is enamored with Apple and its mobile technology, which sure seems to be a good bet. Coincidentally, on the same day Saylor delivered his keynote speech, Apple announced record revenues based on iPhone and iPad sales. MicroStrategy made an early commitment to mobile technologies and Apple’s products. As a result it has a relatively mature set of native mobile products on the Apple platform; now it is bringing those capabilities to Android devices via the Android Marketplace. In addition to Android platform support, the current release, 9.2.1m, adds new mobile features including offline capabilities and user interface enhancements. As a testament to the maturity of MicroStrategy’s mobile capabilities, several customers I spoke with were deploying mobile applications first and then extending those applications to Web and desktop platforms. At last year’s MicroStrategy World, the company was just getting familiar with the cloud. Since then it has delivered two types of cloud capabilities: Cloud Personal for individual use and a cloud version of its full platform including database and data integration capabilities. Support for Teradata in the enterprise cloud offering extends previously announced support for IBM Netezza and ParAccel. Data integration capabilities are provided via a partnership with Informatica. At the recent event it also introduced a third version (not yet available): Cloud Professional extends Cloud Personal with multiuser capabilities including user management, security, personalization and notification of dashboard updates. In addition, Cloud Personal has added the ability to import data directly from Salesforce.com applications. It’s still early days for MicroStrategy in the cloud, as it is for most vendors, but the company appears to be “all in.” It has committed $100 million dollars to build out the cloud infrastructure and offers free capabilities to individual users via Cloud Personal. Perhaps most significant are the software partnerships to provide database and data integration capabilities – the first revenue sharing partnerships for MicroStrategy. In the past it delivered only capabilities developed internally. It made no acquisitions and no partnerships. This willingness to share revenue demonstrates how important the cloud is to MicroStrategy. The company chose to be practical rather purist in its approach. The cloud implementation is based on MicroStrategy’s existing product architecture which is not multitenant. In other words each enterprise runs in a separate instance of the software rather than sharing a single instance. This approach has no immediate or obvious downside for customers. However, in the long run, it could prove to be more expensive and labor-intensive for MicroStrategy. Company officials said that over time it will migrate to a multitenant architecture to overcome these issues. Another key theme, big data, received less attention. Certainly, MicroStrategy executives and presenters mentioned big data, but that is not new to the company. MicroStrategy built its business around large data sets, often from the retail industry, before the concept of “big data” existed. As a result, its core BI product has been architected to deal with big data which is evidenced by its longstanding relationship with Teradata and some of the other databases it supports, including Greenplum, Netezza, ParAccel and Vertica. In addition, MicroStrategy and Cloudera recently announced a partnership that provides connectivity to Hadoop data sources. As our benchmark research shows, organizations use multiple technologies to tackle big-data challenges so MicroStrategy customers should welcome this partnership. I see a couple of holes in MicroStrategy’s coverage. Mark Smith discusses how MicroStrategy is tackling social media as a data source. However, the company has not embraced social media in the context of collaborative BI. In a recent blog post, I noted that Ventana Research sees collaboration as one of five key influences on business intelligence, and there is plenty of movement here. Enterprises have started to adopt collaborative BI processes. Other BI software vendors have begun to support collaborative BI in their products. Soon we’ll be researching market requirements in an upcoming benchmark research project. Another area where MicroStrategy lags some of its competitors is advanced analytics. The company has some support for predictive analytics but limited capabilities for planning and what-if analysis. Despite these areas where MicroStrategy can make additional investments, its annual event demonstrated the company’s determination to embrace new technologies and expand the horizons of business intelligence. It was well attended by customers and supported by a range of partners. If you are struggling with big data, mobile or cloud challenges, you may want to consider MicroStrategy. If so, you can try it easily via its cloud offerings. 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": "Big Data Is More than Hadoop", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2012/01/25/big-data-is-more-than-hadoop", "datePublished": "25/01/2012", "dateModified": "25/01/2012", "articleBody": "We recently published the results of our benchmark research on Big Data to complement the previously published benchmark research on Hadoop and Information Management. Ventana Research undertook this research to acquire real-world information about levels of maturity, trends and best practices in organizations’ use of large-scale data management systems now commonly called Big Data. The results are illuminating. Volume, velocity and variety of data (the so-called three V’s) are often cited as characteristics of big data. Our research offers insight into each of these three categories. Regarding volume, over half the participating organizations process more than 10 terabytes of data, and 10% process more than 1 petabyte of data. In terms of velocity, 30% are producing more than 100 gigabytes of data per day. In terms of the variety of data, the most common types of big data are structured, containing information about customers and transactions. However, one-third (31%) of participants are working with large amounts of unstructured data. Of the three V’s, nine out of 10 participants rate scalability and performance as the most important evaluation criteria, suggesting that volume and velocity of big data are more important concerns than variety. This research shows that big data is not a single thing with one uniform set of requirements. Hadoop, a well-publicized technology for dealing with big data, gets a lot of attention (including from me), but there are other technologies being used to store and analyze big data. The research data shows an environment that is still evolving. The majority of organizations still use relational databases but not exclusively: More than 90 percent of participants using relational databases also use at least one other technology for some of their big-data operations. One-third (34%) are using data warehouse appliances, which typically combine relational database technology with massively parallel processing. About as many (33%) are using in-memory databases. Each of these alternatives is being more widely used than Hadoop. As well, 15% use specialized databases such as columnar technologies, and one-quarter (26%) are using other technologies. While these technologies enable organizations to do things they haven’t done before, there is no technological silver bullet that will solve all big-data challenges. Organizations struggle with people and process issues as well. In fact, our research shows that the most troublesome issues are not technical but people-related: staffing and training. Big data itself and these new approaches to processing it require additional resources and specialized skills. Hence we see high levels of interest in big-data industry events such as Hadoop World and the Strata Conference. Recognizing the dearth of trained resources here, some academic institutions have launched degree programs in analyzing big data, and IBM has started BigData University. Research participants cited real-time capabilities and integration as their key technical challenges. The velocity with which they generate data and the fact that over half the organizations analyze their data more than once a day are forcing them to seek real-time capabilities; the pace of business today demands that they extract as soon as possible all useful information to support rapid decision-making. When respect to integration, less than half of participants are satisfied with integration of third-party products, and almost two-thirds cite lack of integration as an obstacle to analyzing big data. Three-quarters have integrated query and reporting with their big-data systems, but more advanced analytics such as data mining, visualization and what-if analysis are seldom available as integrated capabilities. Responding to such comments, vendors have been racing to integrate their business intelligence and information management products with big-data sources. As you consider big-data projects and technologies, make sure that the vendors you select can handle the big-data sources you must use. Looking ahead we expect more changes in this evolving landscape. In some ways big-data challenges and the presence of Hadoop in particular have paved the way for other technologies besides relational databases. NoSQL alternatives, such as Cassandra, MongoDB and Couchbase, are gaining notice in enterprise IT organizations after the success of Hadoop. In-memory databases, once considered a niche technology, are being considered by SAP, in HANA, as its primary big-data analytical platform. There are differing opinions about whether these various big-data technologies will converge or diverge. We can look to the past for some indications of where the market might go. Over the years a variety of alternatives to relational databases have emerged, including OLAP, data warehouse appliances and columnar databases; each eventually was absorbed into relational databases. We also see signs of the major relational vendors embracing big-data technologies. IBM acquired Netezza for its massively parallel data warehouse appliance technology. IBM has also invested heavily in Hadoop. Oracle introduced its own line of data warehouse appliances and recently brought a big-data appliance to market that includes Hadoop and NoSQL technologies. Microsoft has invested in massively parallel processing and Hadoop. We also see independent vendors such as Hadapt combining relational database technology with Hadoop. The past is not necessarily an indication of the future, but our research shows and recent market dynamics suggest it may be premature to write off the relational database vendors as out of touch. In light of this information, I recommend that your organization explore various alternatives for solving specific challenges. At a minimum you should be aware of the alternatives so when the need arises you will know what is available. Use our big-data research to guide your use of these technologies and to help avoid some of the obstacles they present so you can be more successful in applying big data to business decisions. 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": "What Enterprises Can Learn from Major Events and Surprises in 2011", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2011/12/28/what-enterprises-can-learn-from-major-events-and-surprises-in-2011", "datePublished": "28/12/2011", "dateModified": "28/12/2011", "articleBody": "Rather than make predictions for 2012, which are everywhere right now, I want to look back at some of the surprising events of 2011. I think it’s worth considering what happened that wasn’t expected and what these things might tell us about the information technology market. Here, in no particular order, are the most important ones I see. The Arab Spring Although the Arab Spring movement began at the very end of last year, it’s fair to say that its main impact occurred this year. Social media played a significant role in these protests as a way of not only organizing protestors but also globally communicating instantly what was happening. Early this year Ventana Research had identified social media as one of five key technologies causing a revolution of a different kind within the business intelligence and information management communities, but the speed of adoption and reach of social media have exceeded most expectations. Social media also is part of a trend toward consumerization of IT in which adoption of certain types of technology originate with consumers and then work their way into enterprise IT infrastructures. Enterprises are still grappling with the implications of both of these issues. We are beginning to see effective use of social media as a vehicle for collaboration within business intelligence processes. You could say the genie is out of the bottle with respect to social media, but we still have a long way to go in making it a part of most enterprise IT infrastructures. RIM Stumbles in Mobile Technology The mobile market, in a state of upheaval, continues to evolve rapidly. BlackBerry devices brought mobile technology and enterprise IT together several years ago, but their manufacturer, RIM, stumbled this year. First Apple with its iOS devices and then devices powered by Google’s Android operating system have become the market leaders. These changes were driven by an unusual force in enterprise IT: consumer purchasing behavior. The influx of these devices into office environments forces enterprise IT organizations to grapple with BYOD (bring your own device) issues. Apple iPad sales skyrocketed, attracting other tablet manufacturers and fueling demand for BYOD support. But other tablet manufacturers, including RIM, struggled to produce a device that could capture enough hearts, minds and wallets of either consumers or enterprises. We saw the demise of one device, HP’sTouchPad, and heard rumors of the RIM PlayBook’sdemise. The mobile and social media markets helped blur the lines between consumer and enterprise technologies and in the process established a real focus on the consumer. This focus should benefit end users as it drives up the importance of ease of use. An Elephant in the Room Although it was clear if you looked in the right places, the rise in importance of big data caught many by surprise. While big data and Hadoop are not necessarily synonymous, our benchmark research shows that Hadoop has enabled organizations to do things with big data that they couldn’t do with other technologies. Analyzing more data at a greater level of detail and employing advanced analytics has enabled two-thirds of the organizations using Hadoop to create new products or services. The Hadoop market has attracted a bevy of competition. Yahoo spun out its Hadoop team as a separate entity called Hortonworks. MapR entered the market with its own distribution of Hadoop that is part of EMC Greenplum’s big data offerings. Even Oracle announced its intention to distribute Hadoop as part of a big-data appliance offering. Other NoSQL solutions for big data such as Cassandra, Couchbase and MongoDB have enjoyed success as well; it now seems clear that big data will be a fixture on the enterprise IT landscape for the foreseeable future. A Bookstore Outage Affects Millions A few years ago who would have thought a bookseller’s website outage would affect millions of people? OK, Amazon is much more than a book-seller today, and its Amazon Web Services (AWS) has become the leading public cloud service provider. Many Internet-based businesses rely on AWS as part of the backbone for their IT infrastructures. Some of these are popular social media sites such as Four Square, HootSuite, Quora and Zynga. In fact, in Zynga’s SEC filing for its initial public offering, it cited as a risk that “a significant portion of our game traffic is hosted by Amazon Web Services.” AWS experienced two major outages this year, one of which lasted four days. Two lessons should be drawn from this experience. First, the cloud has become a major source of IT infrastructure. Our Business Data in the Cloud benchmark research shows significant penetration of cloud-based applications into enterprises. Across eight different line of business functions, at least 40% of participants either already use cloud-based services or expect to be using them within a year. Second, if you rely on a cloud service provider for any mission-critical functions, you need to understand the vendor’s service level agreements and make sure you and they have contingency plans in place to deal with outages. You wouldn’t want to be out of business for several days as was the case with the AWS outage earlier this year. A Machine Wins on Jeopardy Earlier this year, IBM Watson competed against two Jeopardy champions and won a nationally televised contest. This event was the culmination of many years of effort on the part of IBM Research Labs, but it’s potentially just the beginning in a series of offerings from IBM and probably others that combine big data and predictive analytics. It was a brilliant marketing move as well as a significant technical accomplishment. Through its involvement in Jeopardy, IBM gave these two relatively “geeky” subjects an audience with the mass market, paving the way for expectation of similar capabilities in a variety of applications, some of which may even be consumer-facing. Without an explanation of the inner workings of big-data processing or predictive analytics algorithms, millions of people now know they can deliver impressive results. By the way, we’re analyzing and writing our benchmark research on how organizations are adopting predictive analytics. We’ll share those results soon, but there are many signs in addition to Watson’s Jeopardy appearance that predictive analytics are onthe rise. If you’re not using predictive analytics, don’t be intimidated by Watson. It has become much more accessible with cloud-based and service-based offerings as well as improved software products that can make the capabilities much easier to use. We have been and will continue to be researching these topics throughout the coming year. We’ll let you know what surprises we find and what they mean for your organization. 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": "Yellowfin 6 Advances Collaboration and Mobility Capabilities", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2011/12/20/yellowfin-6-advances-collaboration-and-mobility-capabilities", "datePublished": "20/12/2011", "dateModified": "20/12/2011", "articleBody": "Collaborative and mobile technologies continue to influence business intelligence (BI) software products. The recent release of Yellowfin 6 embraces these innovations in a visually appealing, end-user-oriented BI product. Yellowfin is an independent BI software vendor based in Australia that was recently recognized, along with its customer Macquarie University, as a Ventana Leadership Award winner for the use of location–based aspects of its technology for effective planning and student acquisition initiatives. As I’ve written previously in “The Consumerization of Collaborative BI Has Arrived,” we have begun to see more collaborative capabilities incorporated into BI applications and process. Our firm will soon launch a benchmark research program on this topic to develop understanding of how collaborative and mobile capabilities can enhance an organization’s BI activities. Yellowfin 6 has a well-integrated set of collaborative and mobile capabilities designed to enhance BI processes. This release incorporates an inbox and activity stream, which enable users to comment on and subscribe to relevant analyses. As consumers move from email-based to collaboration-based communications that use social networking tools, we expect to see the same shift in enterprise communications. Yellowfin incorporates these concepts in its proprietary collaboration technology; I would like to see the company support commercial tools as well, because that would broaden the dissemination of the information. Users can subscribe to analyses based on a time interval, such as every day or week, or based on values crossing a certain threshold. For example, users can have the software send a report if the average hold time in the customer support center exceeds 60 seconds. Release 6 provides dashboard syndication so that entire dashboards can be embedded in other Web pages. For example, an intranet or wiki page can display a Yellowfin dashboard of relevant information if you copy and embed in it a code snippet, in much the same way you can embed a Google calendar in a Web page. Since Yellowfin’s architecture is entirely Web-based, users have full access to all dashboard functionality, not just to a limited subset. The new drill-down capabilities in this release will be important to existing Yellowfin users, but these capabilities are common in other BI tools. The company has put some effort into exposing drill-down capabilities in a way that end users will understand. As the designer of a dashboard, you can decide what types of drill paths will be exposed, including a new “drill anywhere” option that lets users pick from a pop-up menu of relevant options. Other elements of the interface have been enhanced, and present a clean and user-friendly experience. In particular, I like the series selection tiles used to display and pick dimension values. They include a sparkline, a value and a trend indicator that provides a lot of useful information in a compact representation. Report previews, another nice feature in this release, show a thumbnail of each report along with its description when a user needs to select one report from a list. This release also includes native iPad application support. You can try it for yourself here. Not all Yellowfin 6 features are supported in the version currently downloadable, but the company says it will make a new version available early next year that supports the drill-anywhere features, which will greatly aid navigation on the iPad version. Yellowfin also expects to provide a native Android version. In the meantime, the browser-based version of the product runs on mobile platforms. Though it offers many enhanced features, Yellowfin still has some gaps in product functionality compared to other BI products. For example, Yellowfin does not support planning and what-if analysis. Nor does it support brushing, which would enable users to select a subset of data in one part of the dashboard and see the relevant selection reflected as a subset of the other portions of the dashboard. Despite these limitations, I expect we’ll see more of Yellowfin. It has amassed 500 customers and more than 100 OEMs and resellers. If you are looking for a user-friendly tool with collaborative and mobile capabilities that I refer to as the next generation of BI software, take a look at Yellowfin. 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": "Spotfire 4.0 is Socially Collaborative and Interactive", "mainEntityOfPage": "https://davidmenninger.isg-research.net/david-menninger/2011/11/17/spotfire-4-0-is-socially-collaborative-and-interactive", "datePublished": "17/11/2011", "dateModified": "17/11/2011", "articleBody": "Tibco recently introduced Spotfire 4.0, the most recent version of its interactive discovery and business intelligence (BI) tool. Spotfire comes at BI through visualization. It uses in-memory processing and good user interface design to develop highly interactive displays of data. Version 4.0 attempts to enhance Spotfire’s dashboard capabilities and offers integration with enterprise collaboration tools. The former capabilities are necessary to broaden Spotfire’s appeal and applicability for more BI projects, but the latter capabilities are more interesting since they represent a fundamental shift in the way enterprises use business intelligence. I’ve written about the trend toward consumerization of collaborative BI that is part of new benchmark research in 2012. Spotfire 4.0 supports integration with Microsoft SharePoint and Tibco’s own collaboration tool tibbr. SharePoint integration will earn Tibco points with IT organizations, but tibbr integration is more likely to resonate with end users. SharePoint represents the “old school” model of portal-based collaboration, while tibbr represent the newer message-based form of collaboration. If you are not familiar with tibbr, it is similar to Twitter and Salesforce.com Chatter, but it is designed exclusively for use in an enterprise environment. For example, Spotfire’s analytics are nicely integrated with tibbr. While viewing a Spotfire 4.0 analysis you can send a message with the analysis embedded in it. Within tibbr the reader of the message can interact with the analysis and delve deeper or explore other aspects of the data. Spotfire 4.0 dashboards can include tibbr chat streams bringing together the notion of analyzing data and capturing the discussion about the information. It remains to be seen if tibbr will grow sufficiently in popularity to help fuel the revolution in BI that we identified earlier this year. Critical mass of collaborators is a key ingredient to success in collaborative BI. If Spotfire or tibbr supported bridges to other social media tools, such as Twitter and Chatter, it could broaden the appeal of the new capabilities. IBM and SAP have taken a similar approach with their collaboration platforms, but some vendors without their own collaboration platform have no choice but to support third-party platforms. As I indicated in a recent post, one such vendor, QlikTech, is working to integrate its QlikView with Chatter. In regard to new dashboard capabilities, Spotfire 4.0 introduces display objects and provides more finely grained control over existing objects. New objects include sparklines, which are small line graphs that can fit in a row of data, and conditional icons that are often used to give a visual indication of the value relative to its target as well as whether the value is trending up or down. These types of icons are common to performance management applications. Users now can control the display of dashboard objects more precisely. Because of Spotfire’s interactivity, in previous versions the dashboards sometimes appeared cluttered with various controls for altering the data selections. With the new capabilities, the dashboards can have a cleaner look that makes it easier for casual users to focus on the relevant data. It also is easier to embed Spotfire components in other portals and dashboards. It is disappointing that version 4.0 does not enhance mobile capabilities in any significant way. While Spotfire supports the Apple iPad with a native application, that is really just a wrapper around its browser-based capabilities. When I worked with the application I found the user interface awkward relative to native offerings from competitors. For example, you could not pinch, zoom or pan with gestures. I expect we’ll see more investment in mobile capabilities going forward, especially since mobile and collaborative technologies are closely intertwined. The bottom line is that Spotfire 4.0 incorporates key collaborative capabilities that can help organizations transform their business intelligence processes. It also includes incremental improvements in its dashboards that should make the product easier to use. If you are already using Spotfire or tibbr, you’ll likely appreciate what version 4.0 adds. Others who are looking to expand their collaborative BI capabilities should consider the combined offering. 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