Yesterday, Gartner published the 2017 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade; it is THE document of reference for buyers of Business Intelligence technology.
There is no shortage of advice if you’re in the market for a “BI on Big Data” solution or as we sometimes like to call it “Big BI”. Big BI refers to a Business Intelligence (BI) platform that conforms with end-users needs (typically seamlessly integrated with Tableau or Excel), that can scale on any data size to deliver top query performance.
A resource you might find particularly interesting when sizing up your BI tools, is the latest version of the “G2 Crowd Grid for Business Intelligence Software”. The Winter 2016 version just got published. We reviewed the grid and its report and found some interesting insights worth sharing.
The BI on Hadoop market is at an interesting intersection...even event-wise. This past week, the Gartner Business Intelligence Summit gathered over 2,000 Analytics enthusiasts, and next week the O'Reilly Strata Conference will see 4,000 Big Data nerds like me discuss the future of Hadoop. The space is evolving fast. It's possible you might have missed a few things. Below a "re-cap" of the Gartner BI Summit and a "pre-cap" of the O'Reilly Strata San Jose event.
Yesterday, Gartner published the 2016 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade; it is THE document of reference for buyers of Business Intelligence technology.