GAE2606. AI and Data Analytics for Federal Audits

This session demonstrates how simple data analytics can support the research and development (R&D) phase of an audit by helping auditors identify higher-risk grantees. Using a case example, we illustrate how the two audits born from this R&D resulted in significant findings.

Learning Objectives:

• Identify data sources that can be used to review and organize Federal funding data.
• Recognize simple data quality checks that affect risk identification.
• Identify steps used to prioritize grantees with higher potential risk.