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VIDEO: Professor Andy Charlwood on HR Data Science used to improve Residential Care
On 21 May 2019, the ThinkTank's
, presented a practical example on how he and the University of Leeds have carried out a people analytics investigation, looking at the relationship between workforce factors and the impact on business KPIs, such as residents/patient injuries.
Presentation given ahead of the HR Analytics ThinkTank Report,
Predictive Analytics and Data Science: A Guide for HR Analytics Leaders
. Research participants can download the report from
Great insight - I had never heard of Random Forest models or Partial Dependence plots, but this does help me to think a lot more clearly about the types of problems to explore when conducting HR analytics / data science projects - focus on what happens when (use observational data), not what might happen if (basing a model on things that have never happened, is harder/impossible)
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