The document discusses building credit scoring models and scorecards. It describes the steps involved, including: preparing data, cleaning data, selecting statistical techniques, building the model, validating the model, optimizing the model from a business perspective, building a scoring card, ongoing monitoring and validation. It also discusses the difference between scoring models and rating models, examples of scoring ranges, tools used, types of scoring (application and behavioral), reject inference to optimize models to credit strategy, and validating models.