Identify payment integrity risks faster and reduce losses associated with fraud, waste and abuse of social benefits programs

SAS Payment Integrity for Social Benefits

Detect and prevent fraud at every stage of the benefit claims process for unemployment insurance, food or cash assistance, housing assistance, child-care programs and more. Running on SAS Viya, our solution promotes payment integrity while fighting fraud and abuse with the fastest, most productive data and AI.

Detect more fraud, reduce your losses & 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 & 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.

Get to know SAS Payment Integrity for Social Benefits

Key features

Our unified platform for program integrity equips staff with powerful tools for analyzing, detecting and preventing payment integrity issues across various public assistance programs.

Data management

Seamlessly integrate any enterprise data source across systems, regardless of format (e.g., notes in claims files) and apply embedded data quality techniques to improve accuracy. This creates a holistic view of a recipient or provider for better detection of anomalies or discrepancies across government programs or systems.

Hybrid analytics approach

Our hybrid analytics approach combines anomaly detection, rules and predictive modeling to identify fraud, waste and abuse earlier than traditional methods.

Advanced analytics with embedded AI

Provides a broad set of advanced analytic and AI techniques, including modern statistical, machine learning, deep learning and text analytics algorithms.

Rule & analytic model management

Includes prepackaged heuristic rules, anomaly detection and predictive models. Lets you create and logically manage business rules, analytic models, alerts and watch lists.

Detection & prioritized alert generation

Calculates the propensity for fraud at first submission with a scoring engine that combines business rules, anomaly detection and advanced analytics; then rescores claims at each processing stage as new claims data is captured.

Social network analysis

Provides a unique visualization interface that lets you go beyond transaction and account views to analyze related activities and relationships at a network dimension.

Open source compatibility

Language-agnostic programming enables data scientists to access SAS algorithms via open source programming interfaces – including R, Python, Java and Lua – from applications such as Jupyter Notebook.

Flexibility & security

Offers the fast, flexible benefits of a secure, cloud-ready environment. Scales to every analytic level, and lets you choose the solution package that works best for your organization.

View detailed features list