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Analytics Magazine

SAS Analytics to help IRS identify tax evaders, reduce fraud


The Internal Revenue Service will use SAS Analytics to help detect, prevent and resolve criminal and civil noncompliance with tax law. Technology from SAS, a leader in business analytics software and services, will support the agency’s new electronic Return Review Program (RRP) system.

The RRP is designed to help reduce the $345 billion tax gap – the difference between what taxpayers owe and what they pay voluntarily and on time. SAS can help by improving fraud detection and uncovering noncompliance at the time tax returns are initially filed, reducing the issuance of questionable refunds. Tax credit fraud ranges from child adoption or earned income tax credits to ghost tax-return preparers and identity theft.

“There is a significant opportunity to avoid improper refunds and payments of large sums of money,” says Karen Knowles, president of SAS Federal. “With SAS, the IRS can reduce the number and amount of fraudulent tax refunds, discover emerging fraud schemes and increase tax collections to shrink the tax gap.”

SAS scores tax returns through a hybrid approach of business rules, anomaly detection, predictive modeling and social network analysis. Users can easily set up business rules that detect possible fraud and immediately alert investigators or auditors to suspect returns. The software searches data for anomalies that could indicate fraud or error. Predictive modeling uses historical behavioral information to identify suspicious behaviors similar to known fraud patterns. Social network analysis uncovers hidden relationships or linkages that suggest collusion and organized fraud rings.

Another weapon against fraud, SAS Text Miner scours unstructured data, such as call center data, to detect suspicious activity. Alerts and results are reported via a customizable dashboard. SAS’ case management capabilities help investigators prioritize and assign cases.


Using machine learning and optimization to improve refugee integration

Andrew C. Trapp, a professor at the Foisie Business School at Worcester Polytechnic Institute (WPI), received a $320,000 National Science Foundation (NSF) grant to develop a computational tool to help humanitarian aid organizations significantly improve refugees’ chances of successfully resettling and integrating into a new country. Built upon ongoing work with an international team of computer scientists and economists, the tool integrates machine learning and optimization algorithms, along with complex computation of data, to match refugees to communities where they will find appropriate resources, including employment opportunities. Read more →

Gartner releases Healthcare Supply Chain Top 25 rankings

Gartner, Inc. has released its 10th annual Healthcare Supply Chain Top 25 ranking. The rankings recognize organizations across the healthcare value chain that demonstrate leadership in improving human life at sustainable costs. “Healthcare supply chains today face a multitude of challenges: increasing cost pressures and patient expectations, as well as the need to keep up with rapid technology advancement, to name just a few,” says Stephen Meyer, senior director at Gartner. Read more →

Meet CIMON, the first AI-powered astronaut assistant

CIMON, the world’s first artificial intelligence-enabled astronaut assistant, made its debut aboard the International Space Station. The ISS’s newest crew member, developed and built in Germany, was called into action on Nov. 15 with the command, “Wake up, CIMON!,” by German ESA astronaut Alexander Gerst, who has been living and working on the ISS since June 8. Read more →



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