The DOJ is increasingly using a “data focused approach” to identify economic crime and corporate misconduct, according to a DOJ official. In remarks to the 6th Annual Government Enforcement Institute, Deputy Assistant Attorney General Matthew S. Miner recently shared that using data analytics to identify fraud improves efficiency, expedites case development, and makes program enforcement “more targeted.”
While Miner indicated that data analytics are being utilized across the DOJ’s white collar enforcement efforts, he pointed to the healthcare industry and financial sector as two such targets of the DOJ’s data-driven enforcement approach. The DOJ has already successfully used Medicare claims data to identify fraud. That success is attributed, in part, to the DOJ’s healthcare data analytics team which analyzes the Centers for Medicare and Medicaid Services’ payment database for health care fraud activity and trends. The financial sector—specifically the commodities and securities arena—represents an expanding “area of focus” for the DOJ’s data-driven enforcement. Miner indicated that the DOJ uses trading data to identify indicators or anomalies that are suggestive of market manipulation and other fraudulent activity.
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