Predicting Employee Turnover using R

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This blog presents a relatively simple machine learning approach, using R, to harnessing workforce data to understand a company’s employee turnover, and predict future employee turnover before it happens so that actions can be taken now, before it’s too late.

GOALS:

  • Create model to accurately predict employees who leave
  • Identify key factors related to employee churn

The full code can be found on Github here, along with extra code for analyses that supported this blog and might be useful to others.

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What Is Workplace Inclusion and Can You Measure It?

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With all the talk about diversity and inclusion, we decided to devote a New York Strategic HR Analytics Meetup to explore the topic and focus especially on inclusion because of all the apparent confusion over what, exactly, ‘inclusion’ means.

CLICK HERE TO READ “What Is Workplace Inclusion and Can You Measure It?”