John Stultz is a Government Fraud Solutions Specialist for the Security Intelligence practice at SAS. His experience includes implementing architectures to deploy comprehensive data pre-processing, data validation and data management strategies that support the fusion of data and the ability to use advanced analytics to detect fraud. When he is not working with the Federal Government he can be found traipsing through the Blue Ridge Mountains with his wife and three boys.
Improper payments continue to plague the federal government, though many actions are in motion to help turn the tide. The Trump Administration’s Building a Better America: A Plan for Fiscal Responsibility, released in July 2017, emphasizes reducing improper payments, currently estimated by the Government Accountability Office (GAO) to total
On June 22nd, the U.S. Department of Justice announced the largest Medicaid fraud bust in history. The National Health Care Fraud Takedown included 301 defendants charged, $900 million in false billings, 61 medical professionals and 29 doctors, across 36 states. In another case, investigators in New York uncovered more than
When it comes to fraud detection and risk mitigation, predictive modeling has earned a reputation as the “heavy hitter” in the realm of data analytics. As our celebration of International Fraud Awareness Week continues, I would challenge our readers to ask themselves this question, “Is the reliance upon predictive analytics
