Introduction to Credit Scoring
|Event Date/Time: Oct 09, 2009|
The applications of scoring and the uses of different approaches, such as application and behavioural scoring, will be explained. The importance of historical data availability and quality will be explained and the main techniques in use for model building with such data, including decision tress, logistic regression and neural networks will be explained. Practical examples and demonstrations with appropriate technology will also be given.
The expert course tutor will give an overview of how an organisation can best go about selecting techniques for model build, and then integrating the model into the organisation to deliver maximum benefit. A multi-stage process that an organisation could base such an implementation on will be introduced, and the tutor will share experiences of implementing models in organisations globally.