The Development of Credit Scoring Applications using SAS Enterprise Miner training course provides skills to build a credit scorecard, from start to finish, using SAS Enterprise Miner and the methodology recommended by leading credit and financial experts.
By attending Development of Credit Scoring Applications using SAS Enterprise Miner workshop, delegates will learn to:
- Use the SAS Enterprise Miner Interactive Grouping node to select the predictive variables using Information Value and calculate Weight of Evidence values
- Use the SAS Enterprise Miner Scorecard node to build a preliminary scorecard using the appropriate scaling methodology
- Perform reject inference techniques such as hard cut-off augmentation, parceling, and fuzzy augmentation using the SAS Enterprise Miner Reject Inference node in order to augment the scorecard by using rejected applicants
- Determine how well the scorecard performs using scorecard diagnostic tools such as ROC and Lift charts
Working knowledge of the statistics of finance and scorecard development, as well as basic skills using SAS Enterprise Miner.
This Development of Credit Scoring Applications using SAS Enterprise Miner class is ideal for Risk analysts, credit modelers, credit scorecard developers, credit managers, credit analysts, and business analysts in banks and other financial institutions who are responsible for development of scorecards and credit-scoring applications