Case Study: Local Government Federal Credit Union achieves days-to-minutes analytics and faster lending decisions with SAS Business Intelligence and Visual Analytics

Make faster, better lending decisions

Local Government Federal Credit Union (LGFCU), serving about 230,000 members, faced growing pressure to make faster, more accurate lending and marketing decisions from an expanding mix of internal and external data. Reliance on Excel and manual processes made consolidation slow and error-prone, hampering insights into loan delinquency impacts, member behavior, and regulatory reporting.

By deploying SAS Business Intelligence and SAS Visual Analytics, LGFCU automated data preparation, merged multiple data sources for a 360-degree member view, and gained interactive dashboards for management. The result: analytics that once took hours or days now run in minutes, the ability to process billions of rows, improved marketing relevance, faster regulatory reporting, and more time to build credit-risk systems.

Local Government Federal Credit Union

Jonathan Walker

Business Intelligence Manager