Reduce the losses associated with fraud, waste and abuse of social benefits programs.
Improve the validation of benefits eligibility, increase payment accuracy and reduce improper payments. SAS Payment Integrity for Social Benefits runs on SAS Viya, enabling governments to promote payment integrity and fight fraud and abuse with the fastest, most productive AI and analytics available.
Detect more fraud, reduce your losses and optimize payment integrity.
Spot more payment integrity breaches than ever before with a robust fraud analytics engine that processes all data (not just a sample) in real time or in batch. Running on the powerful SAS Viya platform, the solution uses advanced analytics with embedded artificial intelligence (AI) and machine learning algorithms, combined with other techniques – business rules, text mining, database searches, exception reporting, network link analysis, etc. – to uncover more suspicious activity faster with greater accuracy.
Gain a consolidated view of fraud risk and empower limited resources.
Identify linkages among seemingly unrelated claims with a unique visualization interface that lets you go beyond individual and account views to analyze all related activities and relationships at a network dimension. Social network diagrams and sophisticated data mining capabilities give you a better understanding of new threats, enabling you to identify more schemes than ever before and prevent big losses early. Your agency can gain a comprehensive and holistic view that can help expedite program audits and investigations by automatically linking key data sources to quickly identify networks with suspicious activity.
Reduce false positives while boosting efficiency.
SAS Payment Integrity for Social Benefits applies risk- and value-based scoring models to accurately score and prioritize alerts before they go to analysts and investigators. With the time saved, valuable personnel can work more cases with greater efficiency and focus on higher-value networks that generate a better ROI. More accurate scoring also means fewer false positives. Multiple disciplines can work together in a unified way to support an analytics-driven approach that empowers governments to control costs and maintain social program integrity.
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