SAS and Capgemini Tackle Fraud and Improper Payments in Public Sector

SAS has joined platinum partner Capgemini, to help government agencies reduce revenue losses from tax and welfare fraud, and improper payments. Together, SAS, the leader in business analytics software and services and Capgemini, one of the world's foremost providers of consulting, technology and outsourcing services, provide an end-to-end offering in revenue fraud and improper payment protection to public sector organizations in Europe, Brazil, India and Asia-Pacific.

Capgemini combines its experience as a transformation and business analytics partner for forward-thinking public sector organizations with SAS' powerful fraud-fighting analytics technology. The SASFraud Framework for Governmenthelps government agencies in many areas - from detecting suspicious patterns in social programs to uncovering tax evasion to identifying sophisticated fraud rings. This technology will help tax agencies close the gap between revenues owed and collected, whether due to error or fraud; social welfare agencies will see cost savings by reducing erroneous or fraudulent payments. Collaboration between Capgemini and SAS in the public sector follows a series of successful fraud and risk management projects in financial services, delivered with Capgemini's Business Information Management (BIM) Global Service Line.

Capgemini and SAS already work together on strategic risking analytics solutions used by HM Revenue & Customs, the UK tax authority, to tackle fraud and manage debt. Capgemini has also been selected to implement a SAS® business intelligence and analytics solution for the Maharashtra Sales Tax Department (MSTD) in India.

"There is a need for cutting-edge business analytics in the public sector" said Stu Bradley, SAS Senior Business Director of the Fraud and Financial Crimes Practice. "These products apply intelligent business rules and advanced predictive analytics to help governments identify subtle clues to uncover fraud in large amounts of data. Also important is end-to-end capability from data integration through detection through investigation management that can be deployed across the enterprise to address many fraud and improper payments issues on a single platform.SAS working with Capgemini is going to have dramatic impact in assisting government agencies."

The SAS Fraud Framework employs business rules, anomaly detection, predictive modeling and social network analysis to detect possible fraud and immediately alert investigators or auditors. The software searches data for anomalies that could indicate fraud or error. Predictive modeling uses historical behavioral information to identify suspicious behaviors similar to known fraud patterns. Social network analysis uncovers hidden relationships or linkages that suggest collusion and organized fraud rings. The software integrates data, analyzes the data for anomalies that could indicate fraud or error, and passes alerts to an investigation management capability.