Super-charge your fraud detection techniques: 8 ways to better fight fraud from IIA

Fraud is widespread and continues to grow, especially online. As technology becomes more sophisticated, criminals are becoming more organized, operating at a greater scale. Preventing fraud for many organisations will become even more challenging.

Today advanced analytics and machine learning plays a bigger role in effectively tackle financial crimes.For example, real-time pattern detection and automatic alerts can help business leaders identify fraud in its early stages - in some cases before it has even taken place.

SAS invites you to download this complimentary research report from IIA. Designed for Finance or Compliance business leaders, this report discusses today’s challenges and how advanced analytics helps prevent fraud.

Explore how to:

• Incorporate machine learning models with business rules to detect fraud;
• Look for new patterns of activity and audit possibilities suggested by the           data to identify new financial crimes; and
• Operationalise fraud detection and investigation as a system to reduce               overall white-collar crime within your organisation.