| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | Date added | 01 Nov 2006 | |
| Topics | Knowledge and Data Management, Data Mining - Analysis | ||
| Downloads | 1 | ||
Each year, Laurentian Bank receives thousands of requests through recreational vehicle dealers across Canada from consumers wanting to borrow money to purchase vehicles such as snowmobiles, ATVs, boats, RVs and motorcycles. Developing an accurate model to determine the risk of those loans and predict the possibility of payment defaults, quickly and accurately, is a huge task that is critical to the bank, dealers and consumers. The challenge was to quickly and accurately evaluate loan risk levels and predict the possibility of payment defaults. Bank deployed SAS Credit Scoring which analyzes credit and socioeconomic data and reports the results in a credit risk scorecard.
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