Case Study: Scotiabank achieves lower costs and faster retail risk modeling with SAS Enterprise Miner

A SAS Case Study

Preview of the Scotiabank Case Study

Scotiabank - Customer Case Study

Scotiabank, one of Canada's largest banks, was incurring high costs and long turnaround times by outsourcing retail credit-risk scorecard development—while still doing roughly 70% of the data preparation in-house. The arrangement was expensive, inflexible for iterative changes, and made it difficult to attract and retain top analytical talent.

In 2011 the bank built an internal retail risk-modeling team led by Dina Duhon and adopted Credit Scoring for SAS Enterprise Miner to standardize data prep, modeling and scorecard production. Bringing modeling in-house delivered faster, lower-cost and more iterative development, greater audit and regulatory transparency, deeper customer insight and improved talent retention.


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Scotiabank

Dina Duhon

Director of Model Development, Retail Risk Models and Global Risk Management


SAS

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