Solving a problem with Data Science means more than just making a chart. It means identifying a real business problem, wrangling the relevant data, finding the right model, and delivering actionable insights to decision makers.

Let’s consider a workforce management example. Increasingly, organizations are using advanced analytics to optimize their workforces; inspecting historical data to drive employee engagement and productivity.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access