Fraud, waste, and abuse cost government agencies millions-even billions-every year. Healthcare programs such as Medical Cards and Social Welfare are common target as other social support programs ranging from educational support to taxation. Taxpayers end up paying the bill-decreasing their confidence in government’s ability to manage crucial services and valuable public funds.
Predictive analytics makes it feasible for analysts to:
- Detect errors and improper payments in the administration of program benefits.
- Uncover abuse in programs.
- Improve the monitoring of performance.
Case Study
Reducing incidents of flooding and improving customer service and satisfaction
Yorkshire Water improves identification of areas at risk from flooding by using SPSS Predictive Analytics. Read more
In combating fraud, waste, and abuse, predictive analytics solutions from Presidion provide valuable assistance. Predictive analytics technologies enable organisations to “connect the dots” faster in order to anticipate and even prevent instances of fraud, waste, and abuse. Inspectorate and audit offices can prioritise investigations and dedicate staff and other resources to the cases most likely to lead to the recovery of significant monetary amounts.
Case Study
Health insurer detects insurance fraud with IBM SPSS predictive analytics software
Zorg en Zekerheid turned to the data mining solution, IBM® SPSS® Modeler to detect anomalies regarding claims. Read more