Customer risk scoring, is based on customer information using a specific formula rule algorithm to identify the customer risk level of the score,
Automated customer risk scoring improves the timeliness of risk management, ensures consistent scoring decisions, reduces manual intervention, and automates business processes to reduce operational costs. Usually companies want the scoring mechanism can be adjusted according to the situation, including scoring parameters, calculation formula, risk factors and so on. If you implement scoring logic in a way that uses code or a database parameter table, its flexibility is often difficult to meet the user's expectations.
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