Designing Anti-Fraud Tests that (Actually) Work!
Archived Webinar | July 09, 2024
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While data analytics is not a new concept, many organizations have tried (many unsuccessfully) to create data analytics that deliver meaningful results and insights, monitor internal controls and identify fraud. This session will focus on how to correlate data and design anti-fraud tests using a risk-based approach in order to tell a story that is both compelling and insightful. An automated anti-fraud journal entry testing model will be demonstrated for the group, as well.
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