How predicting absence can help to improve employee wellbeing

In this session I will share how Rabobank made a predictive absence model that helps to find the key drivers of long term absence and identify areas in the company that are at risk of high absence in the future.

Key Takeaways

• Modelling absence is possible
• Outcomes give HR the mandate to focus effort on things that matter
• Data never tells the whole story

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Bio

Pieter Weijnen – People Analytics Data Scientist | Rabobank

I am a curious data scientist who is passionate about exploring new paths and projects. The thing I enjoy most in my work is the impact we get to make for our employees and the organization while working on new and interesting topics.