Take your cloud data, database data, HR data, financial data, throw it in a blender and what have you got? Data soup! It may as well be. You have all the right ingredients, but no recipe for pulling it all together. As we accumulate more data, across disparate data sources, the challenge for today’s government data analyst are multiple:
Public sector leaders are facing an uphill battle when it comes to managing data. Their needs are growing while their budgets are often shrinking. How can federal agencies do more with less?
Leveraging enterprise open source solutions is part of the answer. They can help agencies close this gap and meet today’s needs—whether that’s analyzing warfighter data or building Smart Cities—while also planning for tomorrow’s challenges.
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?