Data Analytics Disruption in the Enterprise

Thoughtful piece in Greenplum.  Once again I like the general idea, you look for patterns in data with an analytical search , then use an analytical method to use that pattern to predict or otherwise leverage the pattern to do business better.  Simulation is a common example.  And test the results against similar situations.  Data is more plentiful now, and many devices and systems can be used to record the kinds of data we need.  But the harder part is the analytical method.  And yes, that is embodied in 'data science', but the choice of analytical method, and its correct and practical use, requires experience and knowledge.   The results can be very disruptive to enterprises, large and small.