SAS provides fraud and security solutions that implement anomaly detection techniques to gain a consolidated view of fraud risks, enhance operational efficiencies, and avoid frauds before losses are incurred. Anomaly detection, an element of fraud detection, is used by commercial clients across a multitude of industries. For instance, insurance companies use risk and fraud management techniques to monitor and manage insurance information, whereas payments processors use them to prevent payment related frauds. The SAS fraud framework provides solutions such as fraud data management, alert management, detection, alert generation, and case management to government, enterprise, and BFSI sectors. The framework addresses the challenges faced by commercial clients. A few of these challenges include isolation, inefficient use of resources, incomplete network relationships, and simplistic analytics. The advanced analytics and autoregressive forecasting techniques used in this framework identify frauds readily and leverage fraud and security intelligence to automate tests that detect load anomalies.
USP : SAS offers an enterprise analytic platform used for data management, data integration, and data quality. The company focuses on providing customer-centric solutions for its commercial customers and end-users. The company’s portfolio offers reliable solutions, which are used enterprise wide for fulfilling tasks such as innovative statistical techniques, dynamic data collection, post data-collection contextualization, and dynamic content placement.