Case Study: Fortune-500 Retailer develops a data-driven compensation strategy with Catalant Technologies

Developing a Compensation Strategy with Data Science

Fortune-500 Retailer partnered with Catalant Technologies to find an external expert who could assess its compensation and incentive structure using data science. The company needed a data-driven way to identify whether pay and performance were aligned across thousands of employees and determine what it would take to build a more competitive compensation model.

Catalant Technologies connected the retailer with data science expert Michael Luk, who used data modeling and machine learning to analyze compensation gaps and estimate the financial investment required for changes. The solution also included simplified, reusable code and training for the internal HR team, enabling them to rerun the analysis year over year and present ongoing findings to executives.