CEO Greta Roberts Keynote: Using a Data Science Approach to Reduce Employee Attrition

Watch Greta’s Keynote presentation.

Talent Analytics’ CEO Greta Roberts was a Keynote Speaker at AnalyticsWeek Boston.  She discussed how modern analytics approaches and technology help employers reduce employee attrition (churn).

Why Watch this Game Changing Keynote:

Greta systematically discusses the difference between using predictive analytics to solve specific employee-related challenges (like attrition, or predicting top and bottom performers) vs. just exploring HR data to see what you can find that is interesting.

A summary of Greta’s main points:

  • To be highly predictive, analytics projects need to include line of business data (not just HR data)
  • There is a difference between “exploring HR data to see if you find anything interesting, vs. using predictive analytics to solve a specific employee challenge”
  • Employee analytics efforts need to include performance outcomes (i.e. did sales go up after implementing the models, did call center attrition drop, did insurance agents perform more effectively etc.)
  • Deliver ROI shareholders care about – measurable increase in performance, reduced attrition etc.
  • Complete, perfect data is an illusion. You can begin now using the incomplete data you have.
  • Employee attrition is very expensive and also controllable.
  • Insist that your analytics vendor does a cost analysis with you to to help select which variables and projects to focus on / which will deliver greater ROI to the business.
  • Performance and attrition are related.
  • A little prediction goes a long way.

Who should watch this presentation:

CHROs, HR Business Partners, Analysts, Data Scientists, Analytics Consultants, Risk Consultants, CTOs, CFOs charged with reducing employee costs or increasing employee performance.

Watch Greta’s Keynote presentation.


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