Well-Built Models Set Up Big Data Projects to Prosper
Building effective analytical models is a key facet of big data analytics applications -- though doing so is easier said than done.
This e-book chapter provides guidance on how to successfully manage the modeling process in big data environments through advice from leaders of analytics teams. The chapter drills down on the iterative nature of developing analytical models and the benefits of data sampling -- using representative portions of data sets to speed model development. And it takes a close look at the ongoing struggle to find analytics professionals with the optimal mix of technical skills and business knowledge to staff modeling efforts and help organizations make the most of their big data investments.