Case Study: The University of Tennessee speeds HCM testing and improves payroll accuracy with EPI-USE Labs

Variance Monitor™ and Data Sync Manager™ automate the University of Tennessee's HCM testing process, and improve accuracy

The University of Tennessee, a major public higher education institution, faced a significant challenge in testing its SAP HCM system. With constant changes from internal policies and regulatory updates, their manual testing process was a major drain on resources, taking up to two months and only covering a small sample of employees. This left their payroll accuracy in doubt and created a high risk of errors. They turned to vendor EPI-USE Labs for a solution.

EPI-USE Labs implemented its Data Sync Manager and Variance Monitor solutions to automate the testing process. This enabled the university to proactively check system changes and compare payroll data across periods for its entire employee population. The results were transformative, reducing the testing timeline from two-to-three months to just two-to-three days—a thirty-fold improvement. This provided immense time savings, allowed resources to focus on other priorities, and most importantly, ensured accurate payroll.

The University of Tennessee

Sam Musharbash

Senior Business Analyst