Intermediate Payroll Analytics


	Duration:	Six sessions of 3.5 hours each, 14:00 – 17:30 BST
	Delivery:	Online Virtual Classroom

Course overview

Intermediate Payroll Analytics builds on the Foundations of Payroll Analytics course. It teaches how to apply payroll data and analytics to improve payroll operations, reduce errors, and support organisational performance. It emphasises using payroll data to develop key performance indicators (KPIs) and error-reduction strategies.

Who should attend

Payroll professionals seeking to demonstrate leadership using data analytics

Individuals interested in leveraging payroll data for operational improvements

Attendees who want to apply analytics to payroll processes and timekeeping

Recommended for those who have completed Foundations of Payroll Analytics (though not a strict prerequisite)

What you will learn

Participants will gain the ability to:

Use analytics to improve timeliness and accuracy of payroll

Develop payroll operational data and KPIs

Reduce errors and under/overpayments using analytics

Apply best practices for payroll analytics, including governance and data security

Course content / Key topics

Key topic areas include:

Payroll analytics fundamentals and best practices

Timekeeping analytics for payroll

KPI development and tracking

Using data to support error-free payroll operations

Payroll data governance and security

Prerequisites / Recommended knowledge

There are no formal prerequisites for this course, but the course is designed as the second level in the Payroll Data Analytics series, so familiarity with foundational payroll analytics concepts, or having completed the Foundations of Payroll Analytics course, is highly recommended.