With SAS, the leader in business intelligence, BB&T Corporation, the nation's ninth largest financial holding company, is seeking to enhance risk-adjusted returns, make more efficient use of the bank's capital and continue to generate superior long-term economic rewards for its shareholders.

"SAS Credit Risk Management will augment BB&T's existing strengths in the credit risk arena," said Ken Chalk, chief credit officer at BB&T. "SAS solutions will help us continue to generate lower and less volatile loan losses than our peers. By incorporating SAS' cutting-edge technology, intellectual property and flexibility into our credit risk management infrastructure, we can tailor models to our specific credit computing environment and business circumstances."

BB&T has been a SAS customer since 1991 and views SAS as the industry benchmark for analytics. As BB&T has grown, so has the size and complexity of the bank's credit risk exposure. When BB&T execs began looking for a better way to measure and analyze risk, SAS was a natural choice. BB&T already uses SAS for anti-money laundering compliance and marketing analytics to identify, generate and deliver leads within the bank. Selecting SAS for credit risk analytics represents further expansion of this enterprise commitment to creating an integrated enterprisewide analytical environment.

"With SAS, we expect to further improve upon results we have already obtained from our current analytic resources," said Ken Daniels, corporate credit risk manager at BB&T. "By gaining a clearer understanding of the bank's risk at the transaction and portfolio level, we hope to realize a more efficient deployment of capital. Also, we expect substantial cost savings by taking predictive modeling in house, including custom credit scorecard development and validation."

SAS Credit Risk Management is a comprehensive solution capable of performing credit data management, credit scoring and credit portfolio risk management while providing a credit risk dashboard. Using the SAS solution, organizations can measure credit risk exposures accurately and then evaluate alternative strategies for managing risk.