Monday, June 24 | 1:50-3:05 PM
Recommended Prerequisite: Understanding of anti-fraud programs
Field of Study: Specialized Knowledge
This session will explore how companies are strengthening their corporate integrity and anti-fraud program through a metrics-driven approach. Through leading continuous monitoring, machine learning and risk-scoring techniques, companies are operationalizing their integrity goals and gaining new insights into transaction risks that link to employee, vendor or customer behaviors. Taking a metrics-driven approach to corporate integrity enables companies to measurably strengthen their governance models, improve corporate culture through targeted, more relevant training and corporate communications, as well as improve policies and procedures that prevent and detect fraud. This session will discuss several case studies and forensic data analytics examples, as well as explore the four key components to operationalizing business integrity.
You Will Learn How To:
Partner, Forensic & Integrity Services, EY
Vincent Walden is a partner specializing in forensic technology, business intelligence and fraud detection analytics. Walden leads a national team of skilled forensic technology and data mining professionals. With a focus on anti-fraud analytics, forensic data mining, third-party due diligence and electronic discovery services, Walden has more than 17 years of experience handling the information management, forensic analysis and electronic discovery needs for large-scale, complex litigations, investigations and proactive anti-fraud and compliance programs. Walden is experienced with providing clients leading anti-fraud-based innovation, research and analytics, including anti-bribery and corruption analytics, Fraud Triangle analytics and statistical anomaly detection. He has been featured in many publications including Fraud Magazine, Internal Auditor Magazine, Compliance Week, Forbes, The Economist, ABC News Online, CNBC and other leading publications.
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