Uncover Unemployment Insurance Fraud | Deloitte US has been added to your bookmarks.
Uncover unemployment insurance fraud
uDetect can help state UI agencies harness the power of their data to prevent fraud, waste, and abuse.
The recession brought a tsunami of unemployment insurance (UI) claims, so it’s not surprising that the number of fraudulent benefit requests also surged. In fact, US Department of Labor studies show approximately $2.2 billion in unemployment benefits were dispersed to unqualified individuals in 2011¹.
Few, if any, are more frustrated by this statistic than state UI agency directors who are working to provide a financial bridge to unemployed workers while trying to deter abuse. Many rely on conventional cross-checking methods based on historical data, which uncover fraudulent claims after the fact. By the time employment records reveal a falsified claim, erroneous payments are often unrecoverable. This is where Deloitte’s uDetect analytic tool can help by pinpointing—and even predicting—likely abuse.
uDetect can help state UI agencies harness the power of their data to prevent fraud, waste, and abuse. With uDetect, state UI agencies gain analytic and predictive modeling capabilities that can help identify likely fraud or overpayments early—providing more time for interventions that could help recover or prevent overpayments.
UI agencies can tap uDetect’s capabilities as an enhancement to Deloitte’s uFACTS claims system or another legacy system—or as a Deloitte-hosted software as a service. Regardless of the option they choose, state UI agencies can gain new capabilities that help:
- Reduce fraud, waste, and abuse
- Provide a platform for more accurate delivery of benefits
- Fund other beneficial programs through the reduction of erroneous payments
- Segment applicants to identify qualified individuals
- Allow investigators to focus efforts on more costly abuse cases
If you think that uDetect could help reduce your state’s unqualified UI claims, we should talk. Please reach out to any of us to get the conversation started.
¹Izzo, Phil, The Wall Street Journal, April 27, 2013