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.
Partners
Key Insights
- 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.
Speakers
Eva van der Grijn
John Kane
Resources
Whitepaper: The Changing Face of...
Learn how Credit Managers can use intelligent process automation to change from a "No" Department to a key part of the finance value chain.
Brochure: FS² Credit
FS² Credit empowers you to determine and prevent credit risk and ensure a secure customer on-boarding.
Managing Customer Credit Risk
Assessing your business partners’ creditworthiness involves checking their financial situation. This is a key activity for every credit manager.