Today’s issue of WorkCompRecap features a Guest Post from Peter Chen, Senior Manager of Data Science & Analytics at Mitchell, on Big Data and it’s ramifications for Workers’ Comp.
Peter takes us through the “Three Vs” of Big Data: Volume, Velocity, and Variety, and notes that Variety of data is likely the most under-appreciated, and potentially most valuable aspect of Big Data. Peter also lays out some examples of the potential advantages of, and applications for Big Data in Workers’ Comp, including unifying large and disparate data sets for opioid and fraud risk detection, wrapping it all up with a discussion on how the latest technologies and frameworks are making Big Data much more accessible.
Read it now by clicking here!