All Things Internal Audit Tech: Leveraging Data Analytics

In this episode, Robert Findlay talks with Lynn Moehl about the evolving role of data analytics and AI in internal auditing. Findlay shares strategies for overcoming challenges, best practices for integrating data analytics, use cases, and the importance of clear communication with stakeholders. They discuss the differences between basic data analytics and AI, the skills required for each, and how advanced tools can enhance audit processes.

Guests:Robert Findlay, global head of IT Audit, Glanbia Host:Lynn Moehl, IIA director of Internal Audit and CAE

Key Points:

Introduction to Data Analytics and AI in Internal Auditing (00:00:02)
Differences Between Basic Data Analytics and AI (00:00:34)
Skills Required for Data Analytics vs. AI (00:01:21)
Effective Tools for Specific Audit Scenarios (00:02:17)
Access to Data and Organizational Policies (00:04:07)
Criteria for Choosing the Right Tool (00:05:02)
Challenging Audit Scenarios and Data Analytics Solutions (00:05:35)
Surprising Insights from Data Analytics (00:06:43)
Pitfalls and Mitigation Strategies in Data Analytics (00:08:13)
Communicating the Benefits of Data Analytics (00:10:08)
Best Practices for Integrating Data Analytics (00:11:11)
Measuring Success of Data Analytics Initiatives (00:12:19)
Guidance for Using AI in Analytics (00:13:15)

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