Baylor increases payroll data validation efficiency by 65% with automation
Higher education institution reduced payroll processing time by 49% by improving payroll automation with Oracle Fusion HCM Analytics and Oracle Payroll Activity Center.
United States | Education
“Through the power of Oracle Cloud, advanced analytics, and AI, Baylor is taking its first bold steps toward transforming human capital management. With the adoption of Oracle Payroll Activity Center, HCM Analytics, and AI-enabled capabilities, we are embarking on a journey to advance and accelerate our payroll processes, laying the foundation for smarter, more efficient operations. Our committment goes beyond supporting academic and research excellence; it extends to uplifting every life touched by Baylor: students, faculty, staff and the broader community. This is not where our story ends, but where it begins. ”
About Baylor University
Baylor University is a private Christian Research 1 university in Waco, Texas, known for combining academic excellence, interdisciplinary research, and a caring community to prepare students for leadership and service worldwide.
Business problem: Reduce manual payroll work and improve validation
Baylor wanted to improve payroll automation and reduce manual, time-consuming payroll work.
Solution and results: Use analytics and AI to improve payroll automation
Baylor combined Oracle Fusion HCM Analytics with Oracle Payroll Activity Center to support payroll automation and use new AI capabilities as part of their emerging transformation roadmap.
The transition resulted in a 65% increase in payroll data validation efficiency and a 49% reduction in payroll processing time, helping HR teams focus on higher-value services for the Baylor community.
Reimagining HR processes is part of the university’s broader Ignite program, connecting university-wide processes using Oracle Cloud technology.