Salary Prediction for Benchmarking and Data-Driven Decision Making

Josephine Donnelly
Wednesday, April 24, 2024, 2:50 PM - 3:10 PM

Glance into a world where understanding compensation is not limited by pay transparency restrictions or hidden internal HR datasets. With sophisticated salary predictions, we can understand the compensation landscape of companies and industries at a granular level, opening the doors to salary benchmarking and data-driven decision making.

Understanding compensation is increasingly valuable to employees and companies alike. In the absence of internal HR datasets and consistent pay transparency practices, both parties lack the data needed to make the best-informed decisions regarding compensation. The solution is sophisticated salary modeling, allowing us to predict salaries for any position across the globe and facilitating benchmarking and competitor analysis.

This session will explore:

  • Why understanding salary and compensation is a challenging problem
  • How salaries can be predicted at a granular level from available public datasets
  • How salary predictions facilitate benchmarking and analyses that lead to actionable insights.

Learning outcomes:

  • Predicted salary and compensation datasets provide value to diverse use cases across industries
  • Insights learned from predicted salaries help companies attract and retain top talent in shifting labor markets.