Data discovery capabilities are dominating new purchasing requirements, even for larger deploymen... more Data discovery capabilities are dominating new purchasing requirements, even for larger deployments, as alternatives to traditional BI tools. But "governed data discovery" — the ability to meet the dual demands of enterprise IT and business users — remains a challenge unmet by any one vendor. Market Definition/Description The BI and analytics platform market is in the middle of an accelerated transformation from BI systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization. Because of the growing importance of advanced analytics for descriptive, prescriptive and predictive modeling, forecasting, simulation and optimization (see "Extend Your Portfolio of Analytics Capabilities") in the BI and information management applications and infrastructure that companies are building — often with different buyers driving purchasing and different vendors offering solutions — this year Gartner has also published a Magic Quadrant exclusively on predictive and prescriptive analytics platforms (see Note 1). Vendors offering both sets of capabilities are featured in both Magic Quadrants. The BI platform market is forecast to have grown into a $14.1 billion market in 2013, largely through companies investing in IT-led consolidation projects to standardize on IT-centric BI platforms for large-scale systems-of-record reporting (see "Forecast: Enterprise Software Markets, Worldwide, 2010-2017, 3Q13 Update"). These have tended to be highly governed and centralized, where IT production reports were pushed out to inform a broad array of information consumers and analysts. While analytical capabilities were deployed, such as parameterized reports, online analytical processing (OLAP) and ad hoc query, they were never fully embraced by the majority of business users, managers and analysts, primarily because most considered these too difficult to use for many analytical use cases. As a result, and continuing a five-year trend, these installed platforms are routinely being complemented, and in 2013 were increasingly displaced, in new sales situations by new investments, and requirements were more skewed toward business-user-driven data discovery techniques to make analytics beyond traditional reporting more accessible and pervasive to a broader range of users and use cases. Also in support of wider adoption, companies and independent software vendors are increasingly embedding both traditional reporting, dashboards and interactive analysis, in addition to more advanced and prescriptive analytics built from statistical functions and algorithms available within the BI platform into business processes or applications. The intent is to expand the use of analytics to a broad range of consumers and nontraditional BI users, increasingly on mobile devices. Moreover, companies are increasingly building analytics applications, leveraging new data types and new types of analysis, such as location intelligence and analytics on multistructured data stored in NoSQL data repositories. Return to Top BI and Analytics Platform Capabilities Definition For this Magic Quadrant, Gartner defines BI and analytics as a software platform that delivers 17 capabilities across three categories: information delivery, analysis and integration. As a result of the market dynamics discussed above, the capability definitions in this year's Magic Quadrant have been modified with the following additions and subtractions to reflect our current view of critical capabilities for BI and analytics platforms. Capabilities dropped: Scorecard: Most companies do not implement true scorecard/strategy maps using BI platforms — they implement dashboards. Also, most BI vendors report limited sales activity for their scorecard products. Scorecards are primarily delivered by corporate performance management (CPM) vendors (see "Strategic CPM as a Driver for Organizational Performance Management"). Therefore, we have included scorecards as a type of dashboard, rather than as a separate category. STRATEGIC PLANNING ASSUMPTIONS By 2015, e nte rprise buye rs of BI platform s will pre dom inantly purchase platform s that support both strong and broad busine ss-use r-acce ssible data discove ry capabilitie s and IT-drive n e nte rprise fe ature s for data re use , gove rnance , se curity and scalability. By 2015, the shifting tide of BI platform re quire m e nts, m oving from re porting-ce ntric to analysis-ce ntric, will m e an the m ajority of BI ve ndors will m ak e gove rne d data discove ry capabilitie s an e x pansion of, and the prim e com pe titive capability for, the ir BI platform offe rings. By 2015, "sm art data discove ry," which include s natural-language que ry and se arch, autom ate d, pre scriptive advance d analytics and inte ractive data discove ry capabilitie s, will be the m ost in-de m and BI platform use r e x pe rie nce paradigm , e nabling m ainstre am busine ss consum e rs to ge t insights (such as cluste rs, se gm e nts, pre dictions, outlie rs and anom alie s) from data. By 2016, 25% of ne t-ne w BI and analytics platform de ploym e nts will be in the form of subscriptions to cloud se rvice s. EVIDENCE Gartne r's analysis and place m e nt of ve ndors in this docum e nt is base d on a com bination of a surve y of re fe re nce custom e rs conducte d in O ctobe r 2013 with 1,935 com pany re sponde nts; a de taile d R FP que stionnaire com ple te d by ve ndors; ve ndors' re sponse s to a de taile d se t of Gartne r product and go-to-m ark e t que stions; Gartne r analysts' product re se arch; ve ndor brie fings and de m onstrations; and insights gle ane d by analysts from ove r 2,500 custom e r inquirie s in 2013. NOTE 1 COMPANION MAGIC QUADRANT FOR ADVANCED ANALYTICS Since 2006, Gartne r has publishe d a Magic Q uadrant on BI and analytics (the nam e has change d slightly ove r the ye ars) to e valuate ve ndors across the e ntire spe ctrum of BI and analytic capabilitie s but focuse d on the ir ability to provide traditional que ry and re porting (de scriptive) capabilitie s. During the past fe w ye ars, inte ractive visualization (diagnostic), pre dictive and pre scriptive analysis has be com e m ore im portant to organizations, and this has be e n re fle cte d in the ve ndors e valuate d in the Magic Q uadrant and the ir positions the re in. In 2013, Gartne r's analytics re se arch te am de cide d that the scope of the Magic Q uadrant had grown to cove r m ultiple m ark e ts. Although the de cisions we re som e tim e s conne cte d, the e valuation proce ss that m ost clie nts followe d for "traditional" BI capabilitie s had be com e se parate from that use d to e valuate "advance d" analytic capabilitie s. He nce the te am de cide d it was tim e to introduce an additional Magic Q uadrant on advance d analytics platform s. The ne w "Magic Q uadrant for Advance d Analytics Platform s" cove rs the diagnostic, pre dictive and
Data discovery capabilities are dominating new purchasing requirements, even for larger deploymen... more Data discovery capabilities are dominating new purchasing requirements, even for larger deployments, as alternatives to traditional BI tools. But "governed data discovery" — the ability to meet the dual demands of enterprise IT and business users — remains a challenge unmet by any one vendor. Market Definition/Description The BI and analytics platform market is in the middle of an accelerated transformation from BI systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization. Because of the growing importance of advanced analytics for descriptive, prescriptive and predictive modeling, forecasting, simulation and optimization (see "Extend Your Portfolio of Analytics Capabilities") in the BI and information management applications and infrastructure that companies are building — often with different buyers driving purchasing and different vendors offering solutions — this year Gartner has also published a Magic Quadrant exclusively on predictive and prescriptive analytics platforms (see Note 1). Vendors offering both sets of capabilities are featured in both Magic Quadrants. The BI platform market is forecast to have grown into a $14.1 billion market in 2013, largely through companies investing in IT-led consolidation projects to standardize on IT-centric BI platforms for large-scale systems-of-record reporting (see "Forecast: Enterprise Software Markets, Worldwide, 2010-2017, 3Q13 Update"). These have tended to be highly governed and centralized, where IT production reports were pushed out to inform a broad array of information consumers and analysts. While analytical capabilities were deployed, such as parameterized reports, online analytical processing (OLAP) and ad hoc query, they were never fully embraced by the majority of business users, managers and analysts, primarily because most considered these too difficult to use for many analytical use cases. As a result, and continuing a five-year trend, these installed platforms are routinely being complemented, and in 2013 were increasingly displaced, in new sales situations by new investments, and requirements were more skewed toward business-user-driven data discovery techniques to make analytics beyond traditional reporting more accessible and pervasive to a broader range of users and use cases. Also in support of wider adoption, companies and independent software vendors are increasingly embedding both traditional reporting, dashboards and interactive analysis, in addition to more advanced and prescriptive analytics built from statistical functions and algorithms available within the BI platform into business processes or applications. The intent is to expand the use of analytics to a broad range of consumers and nontraditional BI users, increasingly on mobile devices. Moreover, companies are increasingly building analytics applications, leveraging new data types and new types of analysis, such as location intelligence and analytics on multistructured data stored in NoSQL data repositories. Return to Top BI and Analytics Platform Capabilities Definition For this Magic Quadrant, Gartner defines BI and analytics as a software platform that delivers 17 capabilities across three categories: information delivery, analysis and integration. As a result of the market dynamics discussed above, the capability definitions in this year's Magic Quadrant have been modified with the following additions and subtractions to reflect our current view of critical capabilities for BI and analytics platforms. Capabilities dropped: Scorecard: Most companies do not implement true scorecard/strategy maps using BI platforms — they implement dashboards. Also, most BI vendors report limited sales activity for their scorecard products. Scorecards are primarily delivered by corporate performance management (CPM) vendors (see "Strategic CPM as a Driver for Organizational Performance Management"). Therefore, we have included scorecards as a type of dashboard, rather than as a separate category. STRATEGIC PLANNING ASSUMPTIONS By 2015, e nte rprise buye rs of BI platform s will pre dom inantly purchase platform s that support both strong and broad busine ss-use r-acce ssible data discove ry capabilitie s and IT-drive n e nte rprise fe ature s for data re use , gove rnance , se curity and scalability. By 2015, the shifting tide of BI platform re quire m e nts, m oving from re porting-ce ntric to analysis-ce ntric, will m e an the m ajority of BI ve ndors will m ak e gove rne d data discove ry capabilitie s an e x pansion of, and the prim e com pe titive capability for, the ir BI platform offe rings. By 2015, "sm art data discove ry," which include s natural-language que ry and se arch, autom ate d, pre scriptive advance d analytics and inte ractive data discove ry capabilitie s, will be the m ost in-de m and BI platform use r e x pe rie nce paradigm , e nabling m ainstre am busine ss consum e rs to ge t insights (such as cluste rs, se gm e nts, pre dictions, outlie rs and anom alie s) from data. By 2016, 25% of ne t-ne w BI and analytics platform de ploym e nts will be in the form of subscriptions to cloud se rvice s. EVIDENCE Gartne r's analysis and place m e nt of ve ndors in this docum e nt is base d on a com bination of a surve y of re fe re nce custom e rs conducte d in O ctobe r 2013 with 1,935 com pany re sponde nts; a de taile d R FP que stionnaire com ple te d by ve ndors; ve ndors' re sponse s to a de taile d se t of Gartne r product and go-to-m ark e t que stions; Gartne r analysts' product re se arch; ve ndor brie fings and de m onstrations; and insights gle ane d by analysts from ove r 2,500 custom e r inquirie s in 2013. NOTE 1 COMPANION MAGIC QUADRANT FOR ADVANCED ANALYTICS Since 2006, Gartne r has publishe d a Magic Q uadrant on BI and analytics (the nam e has change d slightly ove r the ye ars) to e valuate ve ndors across the e ntire spe ctrum of BI and analytic capabilitie s but focuse d on the ir ability to provide traditional que ry and re porting (de scriptive) capabilitie s. During the past fe w ye ars, inte ractive visualization (diagnostic), pre dictive and pre scriptive analysis has be com e m ore im portant to organizations, and this has be e n re fle cte d in the ve ndors e valuate d in the Magic Q uadrant and the ir positions the re in. In 2013, Gartne r's analytics re se arch te am de cide d that the scope of the Magic Q uadrant had grown to cove r m ultiple m ark e ts. Although the de cisions we re som e tim e s conne cte d, the e valuation proce ss that m ost clie nts followe d for "traditional" BI capabilitie s had be com e se parate from that use d to e valuate "advance d" analytic capabilitie s. He nce the te am de cide d it was tim e to introduce an additional Magic Q uadrant on advance d analytics platform s. The ne w "Magic Q uadrant for Advance d Analytics Platform s" cove rs the diagnostic, pre dictive and
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