In various forms, business intelligence (BI) – as queries, reporting, dashboards and online analytical processing (OLAP) – is being used increasingly widely. And as basic BI capabilities spread to more organizations, innovative ones increasingly are exploring how to take advantage of the next step in the strategic use of BI: predictive analytics. The trend in Web searches for the phrase “predictive analytics” gives one indication of the rise in interest in this area. From 2004 through 2008, the number of Web search was relatively steady. Beginning in 2009, the number of searches rose significantly and has continued to rise.
Topics: Predictive Analytics, Predixion, R, Revolution Analtyics, Sales Performance, SAS, Social Media, Supply Chain Performance, Operational Performance, Analytics, Angoss, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, Chief Information Officer, Cloud Computing, Customer & Contact Center, Financial Performance, IBM SPSS, Information Builders, Information Technology, KXEN, Netezza, Oracle, Tibco Spotfire, Workforce Performance