Our understanding of retention and turnover has gotten incredibly complex in the age of big data. As internal and external data sources build a more complete picture, the question turns to how organizations should be deploying these predictions to their benefit. Professors David Allen and Brooks Holtom have built a model that predicts when employees will quit and conducted an in-depth study with live data. In this episode, they share some surprising findings about turnover and the reasons people stay in their jobs.
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About the AuthorMore Content by Diana Thomas