Data-driven credit risk management

Yves Le Grand
June 25, 2025 - Reading time 3 minutes

Remember how it used to be? A stack of credit reports, printed overviews, and somewhere in a folder (or worse: in a drawer) a file with notes on a customerโ€™s financial reliability. Financial screening was mainly a manual and time-consuming process back then, heavily reliant on scattered documents and employeesโ€™ memory.

Fast forward to today, and the difference is huge. It's now all about speed, clarity, and smart integrations. With modern CRM and accounting systems, financial screening is embedded throughout the entire customer journey, from first contact to invoicing.

Back then, you'd be staring at a credit report, analyzing figures, payment behavior, and credit limits. Youโ€™d extract the key information, jot it down somewhere in a customer file, and hope your colleagues did the same. But letโ€™s be honest: it was error-prone, time-consuming, and rarely truly up to date.

From reports to real-time data

Today, integrated data is the new standard. Instead of digging through separate reports, credit information, payment behavior, and outstanding invoices are automatically brought together in one system. Everything in real time, all in one place. That not only makes it easier to assess risks, but also speeds up decision-making and improves cross-department collaboration.

Interesting read: To Credit Risk Automation in three steps

Where financial data used to be mainly the domain of the credit manager, today many more colleagues work with it. And that actually makes perfect sense. After all, why should only the team managing risk know how a customer is doing?

Sales now uses those same insights to identify promising customers or to avoid risks when closing new deals. Marketing looks at payment behavior to better target campaigns, because, letโ€™s be honest: itโ€™s more practical to approach customers who actually pay. And compliance officers? They can quickly check for red flags before a customer is even accepted.

Because everything comes together in one system, everyone has access to the same up-to-date information. No more separate lists, no more โ€œIโ€™ll send it to you later.โ€ Just immediate insight for everyone who needs it. Much more efficient, and a lot smarter.

Always know your customersโ€™ current risks

Where you used to rely on manual checks in credit reports to detect changes in customers, that process is now largely automated. Updates on, for example, the D&B Rating, credit limits, or the Paydex score no longer need to be looked up manually, they are now automatically delivered and processed in systems like CRM or accounting software.

Interesting read: Integrate credit risk automation into your existing systems

This means that changes are immediately visible where it matters. Whether itโ€™s adjusting payment terms, assessing risks, or informing colleagues in sales or compliance, everyone works with the same up-to-date data. No more separate documents, no delays in information, just continuous insight and immediate action when needed.

How does it work?

With an API, you can easily pull data from an external system directly into your own system, such as your CRM or accounting software. This means you no longer have to search manually or re-enter data.

ChatGPT zei: The advantage of an API is that you can choose exactly which data points you want to retrieve. For example, only the credit limit or a customerโ€™s payment behavior, exactly whatโ€™s important for your processes.

More and more organizations are opting for this approach. For in-depth research, the full reports, of course, remain available at all times.

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White paper

Credit Monitoring

Opportunities for your organization in focus

A credit check at customer acceptance is valuable, but also immediately outdated. The real credit risk actually begins after you have accepted a customer. accepted. The solution: monitor the financial health of your customers in real time.

Pdf of 16 pages, 0.4 MB
Credit Monitoring

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