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Data analytics is key in the strategy to improve audit quality and fraud detection. We will discuss how data analytics techniques can assist auditors in performing a more systematic, complete review of business processes and improve efficiency and quality of audits. Also, we will discuss examples that leverage data analytics to detect and mitigate data exposure and fraud.
Learning Objectives:
Identify the value proposition of data analytics
Recognize the capabilities and limitations of data analytics
Recall tools and infrastructure leveraged to improve audit quality
Identify instances to utilize data analytics techniques to detect and mitigate data exposure and fraud (e.g. trend analysis, predicting data leak vulnerabilities and measuring the effectiveness of data protection controls)
Speaker(s):
Debbie
Berkey,
Senior Manager, Internal Audit Data Analytics Manager,
TIAA
Ken
Cooper,
Senior Director, Internal Investigations,
TIAA