Using Predictive Analytics to Forecast Employee Turnover

The tools to tell you who’s going to leave and why



Culture Amp
07/01/2019

Sponsored By:
Using Predictive Analytics to Forecast Employee Turnover

We respect your privacy, by submitting this form you agree to having your details passed onto the sponsor who may promote similar products and services related to your area of interest. For further information on how we process and monitor your personal data click here.

Imagine a tool that provides HR professionals with the ability to predict employee turnover.  Almost sounds like a crystal ball, or at the very least a statement that is too good to be true.  Thanks to Culture Amp the tool to address the issue of employee turnover actually exists.

In their latest whitepaper, Using Predictive Analytics to Forecast Employee Turnover, Culture Amp explains how to find the high risk groups in an organisation that are most likely to leave.  It’s based off data collected from thousands of companies around the world. Furthermore, the resource shares why it’s important for organisations to know this, the reasons why it’s happening and how to take immediate action to improve retention. 

Key takeaways include:

  1. How to be more strategic with your people data
  2. How to predict employee turnover to improve retention
  3. How to uncover cost savings with an easy-to-use tool

RECOMMENDED

OUR BENEFACTORS