Despite agency efforts, fraud, waste, and abuse spending continues to impact federal agencies. In the United States, it increased from $137 billion in FY15 to $144 billion in FY16, the highest amount in years and the fourth consecutive year of increases. Beyond pay, chase, and recover, federal agencies are working to stop these payments, but bad actors may be a step ahead of government.
Goals and Objectives
Ensure the accuracy of benefits and payments, and reduce the annual amount of improper payments. In the United States, agencies are required to cut these payments by 50% by 2021.
Cloud-based lists, data hubs, Big Data, dashboards, AI, machine learning, cognitive, cybersecurity
Use Case Summary
Agencies can move from recovery of funds to prevention of improper payments through deployment of cloud-based lists of individuals and entities excluded from receiving payments or barred from doing business with government, BI software and data analytics platforms to catch suspicious benefit claims, and federated data hubs with appropriate access controls to securely share, merge, combine, and analyze disparate data (structured, unstructured, semistructured, and metadata) across multiple agencies.