Achieve Best-in-Class Credit Risk Scoring
A solid and precise scoring methodology lies at the heart of your credit management. Internal data, such as payment experience and behavior as well as external data from different providers need to be efficiently sourced, aggregated, and interpreted to provide meaningful information for sound credit decisions.
If conducted manually, this process takes up a lot of time and resources. However, with intelligent automation, credit information can be easily integrated into your operating system, providing real-time information and improving the accuracy of credit scorings and risk analyses.
In this on-demand session with CICM, our seasoned subject matter expert, Eva van der Grijn, and CICM's John Kane showcasing extensive experience in credit and risk management, walk you through industry best practices in building a best in class scoring methodology that will optimise your results and reduce your risk exposure.
What to expect? Relevant industry insights, and an engaging panel discussion with credit experts.
- Success story: Hear how a multinational pharmaceutical company automated their credit and risk management and improved processes on a global scale.
- Intelligent automation: Discover how you can automate approval processes and determine credit risk accurately with AI powered credit scoring.
- Best practice: Learn industry best practices in building a best in class scoring methodology that will optimise your results and reduce your risk exposure.
Eva van der Grijn
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