The U.S. Government spends trillions of dollars on benefits programs like Social Security, Medicare and Medicaid each year. Unfortunately, billions of those dollars are improperly paid, reducing the benefits to those who most rely upon them. In 2016, the White House estimated these losses at $144B.
Improper payments, fraud, and abuse takes many forms, consider some of these examples of Medicaid fraud and abuse:
With a constant influx of data, one of the biggest challenges facing government agencies is determining “What is the right data?” or “What data does my agency need for mission success?”
Then, once the data is discovered, how do you make that data actionable? How do you integrate and visualize it for better insights?