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White Paper

How a Hybrid Anti-Fraud Approach Could Have Saved Government Benefit Programs More than $100 Million

Case Studies of Organized Crime Rings Defrauding Federal Subsidy Programs

About this paper

Snagging bad guys who commit fraud involves more than tracking down a single perpetrator. Professional crime rings are forming, and they regularly change tactics to elude law enforcement. Programs like federal food stamps are bilked by corrupt merchant criminal networks. While the federal food stamp program is the government’s largest, its staff of 40 USDA inspectors lacks support to effectively stem the tide of this lucrative criminal black market. This white paper outlines the SAS Fraud Framework, a multi-layered, hybrid fraud detection solution that detects fraud earlier, uses tactics like predictive modeling and delivers information in an easy-to-understand format. The paper includes a step-by-step overview of how this software can help stop federal food stamp fraud and how it can detect, prevent and manage all types of federal subsidy and loan program abuse in one integrated package.

About SAS

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 70,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.

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