SAS
305 Case Studies
A SAS Case Study
Discover Financial Services, which relies heavily on statistical and financial models across marketing, underwriting and risk functions, faced rising regulatory scrutiny and an unsustainable, manual process for tracking models across their lifecycle. Model development had proliferated across units, information lived in emails and spreadsheets, and Discover needed a centralized, scalable repository to identify what models were used where, manage model-related documentation and reduce model risk.
Discover implemented SAS Model Risk Management to create a single, self-service model inventory that catalogs models from any tool and links usage, validation, documents and approvals. The platform cut CCAR data preparation from 4–5 weeks to under a week, enabled retirement of outdated models, registered ~500 users, indexed >10,000 documents and generated ~12,000 linkages among ~700 models—freeing staff for higher-value analytics, improving reuse, and making the program more audit- and regulator-ready.
Abhinav Anand
Chief Model Risk Officer