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Credit score cut-offs have traditionally been defined to minimise risk based on an understanding of likely default rates around the margins, derived from historic data.
We extend this traditional analysis to consider the different revenue metrics, such as attrition, take-up, spend and revolved balances in order to optimise the scorecard cut-offs by value rather than a one dimensional risk approach. Resulting in a more rounded assessment.
