Data Science is now widely used in the business world to predict customer churn, identify fraudsters, provide product recommendations or forecast product demand.

However, with the right data and the right methodology, less traditional use cases can be addressed in the enterprise.

Two examples will be presented in this paper.

  • Using Survival Analysis to understand employee retention and assess how long my employees will stay in my company
  • Understand why Forecast quality differs over time and the impact of judgmental corrections of statistical forecasts

Slides

Time: 15:00 - 15:30
Track: Track 3
Speaker: Valérie Ameel