Webinaire à la demande

Fight Fraud and Abuse with Forensic Data Visualization

Anti-fraud analytics have evolved from asking simple, rule-based questions of data, to letting the data “speak for itself” through visualization, predictive models, anomaly detection, pattern recognition, and text mining techniques.

In this 45-minute webinar, discover how visual analytics allows you to:

  • Analyze improper payments and financial crimes
  • Track asset misappropriation and cyber threats
  • Strengthen your anti-fraud program

This webinar is designed for the corporate anti-fraud investigator, internal audit, compliance, legal, or finance professional who wishes to gain the upper hand in preventing and detecting fraud, waste, and abuse in their organization.

À propos de l'intervenant

image

Vincent M. Walden

Partner, Fraud Investigation & Dispute Services, Ernst & Young

Vincent Walden is a Partner specializing in forensic technology, business intelligence and fraud detection analytics. Vincent 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, Vincent has over eighteen 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. As a Certified Public Accountant and a Certified Fraud Examiner, he has been featured in many publications including FRAUD Magazine, Internal Auditor Magazine, Compliance Week, Forbes, The Economist, The FCPA Report, ABC News Online, CNBC, and other leading publications and is part of an Anti-Fraud Task Force sponsored by COSO focused on managing the business risks of fraud.

Vous avez presque terminé.

Vous y êtes presque. Encore 15 secondes pour compléter le formulaire. Si vous êtes déjà inscrit, vous pouvez vous connecter.

Liens de téléchargement des vidéos

MP4

Cliquez avec le bouton droit pour enregistrer le fichier