Recommended Prerequisite: Knowledge of data analysis and data visualization
Field of Study: Specialized Knowledge
Anti-fraud analytics have evolved from asking simple, rule-based questions of data, to letting the data tell a story through visualization, predictive models, anomaly detection, pattern recognition and text-mining techniques. Data visualization serves as a digital art form that can intuitively display connections in your data and help you zero in on bad actors. In this session, you will discover how data visualization leveraging simple tools can help your organization prevent and detect fraud more effectively.
You Will Learn How To:
Director, Fraud Risk Mitigation Practice Lead, Grant Thornton LLP
Linda Miller leads Grant Thornton’s fraud risk practice in the commercial and public sector. Prior to joining Grant Thornton, Miller spent 10 years with the Government Accountability Office (GAO), most recently as an Assistant Director with GAO’s Forensic Audits and Investigative Services team. She was the principle author of GAO’s recently issued Framework for Managing Fraud Risks in Federal Programs, which describes leading practices that agency managers can use to develop a fraud risk management program.
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