Using Automated Decisioning and Business to Improve Real-time Risk Management
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"Using Automated Decisioning and Business to Improve Real-time Risk Management"
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Learn why automated decisioning and business rules are essential to effective credit risk management.

In today's fluctuating economic environment, companies, especially financial institutions, stand to make strong gains from decision management if it is applied correctly. The introduction to this white paper, written by James Taylor, an expert in decision management, delves into predictive models, business rules and Champion Challenger testing as elements of successful decision management. The paper further examines the relevance of decision management to credit risk, how business rules can be defined and managed and how what-if analysis and Champion Challenger testing improve results.


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