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.
You can connect with David on Twitter. Both are also on LinkedIn: David and Brooks.
New episodes of Talent Champions are released every other Thursday. Subscribe on iTunes, SoundCloud, or wherever you get your podcasts. Join our mailing list to receive email notifications of new episodes and special bonus content from guests.
Leading a team requires a different skillset than working as an individual contributor. To succeed in the face of new challenges, first-level leaders need to shift how they think and act. Download our latest guide and develop your people into a high-performing team.
About the AuthorMore Content by Diana Thomas