SAS, Capgemini To Help Tackle Fraud, Improper Payments In Public Sector

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

Capgemini combines its experience as a transformation and business analytics partner for forward-thinking public sector organisations 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.

“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.”

More from Biztech

Future Group - Reliance Retail Deal approved by CCI RBI ban on cryptocurrencies takes effect; prohibition could force investors to tap the black market

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 organised fraud rings. The software integrates data, analyses the data for anomalies that could indicate fraud or error, and passes alerts to an investigation management capability.

“Governments in developed countries are under pressure to reduce spending and governments in emerging economies struggle to enforce compliance. This creates compelling reasons for tax and welfare agencies worldwide to adopt more sophisticated approaches to protecting tax revenues and tackling benefits fraud and improper payments” said Ian Pretty, Global Tax & Welfare Lead, Capgemini. “Working with SAS allows us to address the needs of governments more completely and bring the best available technologies to their business problems - wherever they are in the world and whatever the level of maturity of their tax and welfare operations.”