Credit Risk Management
Expert interview: how to focus on the real dangers in your credit portfolio
Een interview met Group Financial Solutions manager Arjan Bakx
Een interview met Group Financial Solutions manager Arjan Bakx
New customers, new risks? Not always. Discover in our infographic how monitoring using up-to-date credit information, predictive indicators, scores and alerts helps you in the 7 stages of the credit process.
What are the latest legislative developments on money laundering, corruption and forced labor?
Monitor the financial health of your customers in real time using up-to-date credit information, predictive indicators, scores and alerts.
On the compliance front, you are faced with a choice as a company. Do you go for a check in the box and choose a reactive compliance strategy? Or do you do more to stay out of shadowy issues like corruption, child labor and environmental crimes?
The checklist from the Financial Intelligence Unit (FIU) Netherlands consists of 72 handles and pointers to help detect corruption.
In this article, we describe how to best assess credit risk and how by monitoring customers, you can optimize the sales process and reduce any financial worries in the future.
Our leading compliance solution, indueD, can help you achieve the unthinkable: manage the complexity of compliance while achieving ethical business growth. And do it all in a cost-effective way.
Data-driven work is more than just hype. It's a formula for success that gets you straight to your business goals. How do you use this data to boost your business performance?
Thanks to real-time data, you can make decisions based on daily reality. In this way, you gain valuable signals for processes such as know your customer (KYC) and anti-bribery and corruption (ABAC).
How can you simultaneously facilitate business growth, achieve a more efficient compliance function, stay compliant and avoid risk? The solution is a smart combination of external data and specialized software.
Data-driven companies have an edge over competitors. Do you have high-quality company data? Then golden mountains lie ahead.
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