Credit Scoring: The complete box set!
To complete our recent blog series about credit scoring, here is a short video introducing the WPS Data Science Module (DSM), a toolset capable of building behavioural and application scorecards. DSMWPS Data Science Module (DSM) features a collection of point-and-click tools including a Workflow Editor, Data Profiler and Machine Learning capabilities.
Please get in touch if you would like to know more about DSMWPS Data Science Module (DSM) or about credit scoring.
The real benefit of a scorecard or a credit strategy is only evident on implementation.
Credit risk strategy is the process that follows after the scorecard development and before its implementation. It tells us how to interpret the customer score and what would be an adequate actionable treatment corresponding to that score.
Advanced validation framework and dealing with unbalanced data
Segmentation and reject inference, or keep it simple? – That is the question!
Scorecard development describes how to turn data into a scorecard model
How to achieve parsimony and what is the key information to look for?
Data preparation is a key aspect of any data mining project including development of a credit scorecard
How I make sure that other data scientists can replicate the same steps and produce similar results
Why do credit scoring? What is a credit score?
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