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Risk assessment is crucial for any enterprise that extends credit to customers. While credit scoring is typically associated with banking, it is also required in many other industries as both a business tool and a regulatory necessity.
Credit scoring is complex and involves high volumes of data – it is not efficient or cost-effective to perform manually. Thankfully, the use of artificial intelligence and machine learning is well established and widespread in the credit risk sector.
Read on to learn how an analytics-based credit scoring model as part of a complete enterprise decision management system can help you mitigate credit risk and reduce costs for your organization.