Join Mike Pretorius for a practical look at how low-code data analytics can transform the way you approach an accounts payable audit. Together, we’ll move from raw data to meaningful audit findings—identifying duplicate payments, vendor and employee relationships, unusual payment patterns, and other anomalies across the full population. Best of all, you don’t need to be a programmer to follow along and put these techniques to work.
Learning Objectives
- Identify practical data analytics tests that can be applied to accounts payable data to detect errors, anomalies, and potential fraud indicators.
- Understand how multiple datasets, including AP transactions, vendor master data, and employee data, can becombined to identify relationships and higher-risk transactions.
- Understand how an analytics workflow can be built into a repeatable audit process that can be refreshed and rerun as new data becomes available.
Duration: 1 hour (approximate)
CPEs Available: 1
Knowledge Level: Intermediate
Category: Data Analytics
Course Content
Note
You will receive a certificate of completion that complies with IIA, ISACA, and ACFE CPE requirements for any certifications held by those associations (CIA, CISA, CRMA, CFE, etc.). Auditopia does not offer NASBA certificates for CPA CPE requirements at this time, this is something we will look into in the future.
Your Experience Counts
Network with other internal auditors and share your perspectives in one of our collaboration groups.
Course Includes
- 1 Lesson
- 1 Quiz
- Course Certificate
