IUC 2020 - Session Recordings

Designing Anti-Fraud Tests that
(Actually) Work

Speaker
Matt Storlie, CFE, CIDA, Manager, Forensics & Litigation Services
Wipfli
 

While many try to use data analytics to monitor internal controls and identify fraud, they are often unable to deliver meaningful results. This hands-on session focuses on how to use IDEA for fraud detection using data correlation and taking a risk-based approach. Attendees will learn how to leverage risk-based data analytics to design anti-fraud tests and ultimately utilize IDEA to tell a story that is both compelling and insightful.
 

Learning Objectives

• Understand historical data analytics methodologies, techniques, and shortcomings

• Develop risk-based anti-fraud tests using IDEA and data correlation

• Apply a risk-based approach to data analysis to benefit your organization