As talent professionals explore how to use data to address their talent challenges, a poorly planned and implemented analytical process can cause stumbles. Especially when it involves identifying, gathering, organizing and analyzing data as well as extracting insights. Successfully using big data requires a structured framework.
In this article from Chief Learning Officer, the authors and DDI analytics experts—Jill George, Ph.D. and Evan Sinar, Ph.D.—propose a sight-insight-foresight structure to bring together seemingly disparate data to create valuable insights for your organization. To help Chief Learning Officers and others be effective in doing this, they also define the kinds of roles that need to be played—master integrator, alchemist and futurist.