- 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.
|Breadth and Depth of Product Offerings|
|Product Features and Functionality|
|Product Differentiation and Impact on Customer Value|
|Product Quality and Reliability|