Operational analytics is making headlines in 2013. But why is it important? And why is it more likely to succeed now than in years past?
Devlin’s piece does a good job describing the current evolution we’re seeing in BI from a historical reporting-based model into an analytics-action-based model. “Operational Analytics” is the new buzzword for this (analysts seem to be glomming on to it as well), because most of the results are smaller, tactical (operational) measures rather than bigger holistic, strategic business moves. This is actually a bit of “what is old made new again,” which Devlin nods at in his mention of Operational Data Stores ODS from the 1990’s.
Back then ODS were tactically focused because we didn’t have the technology to aggregate across systems and analyze it on a 1-to-1 basis. Then BI & OLAP came along allowing us to break down those data silos to get a “single version of the truth.” Now we find ourselves returning to making silos with all of these various analytics systems focused on one piece of the operation or another (marketing, production, distribution, sales, etc. etc.).
What will be most interesting in the days ahead is whether we continue down this fast and furious realtime analytics silo path, or if we pull up short because we’ve realized that all of these short timeframe operational decisions, which were tactically correct at the moment, have caused us to veer from our strategic business goals.
See on smartdatacollective.com