Credit Data

Credit data is the financial information used to assess a debtor’s ability to pay and the risk of nonpayment. This information serves as the basis for decision-making in credit management and plays a central role in both preventing payment problems and managing delinquent accounts.

For companies that sell on credit, credit data is essential for determining payment terms, credit limits, and the overall risk associated with the customer relationship.

Credit Data as Part of Credit Management

Credit management encompasses a company’s overall efforts to manage risk before, during, and after invoicing. Credit information is a fundamental element of the preventive aspect of credit management.

By using relevant and up-to-date credit data, the company can:

• determine whether credit should be granted
• set appropriate payment terms and credit limits
• identify high-risk customers
• respond early to changes in the customer's financial situation

Missing or outdated credit data increases the risk of late payments and can ultimately lead to debt collection and financial losses.

What information is included in credit data?

Credit data may consist of a combination of external and internal information. Typically, it includes:

• Information from public records, such as the CVR, financial statements, and ownership structure
• Entries in debt and payment registries
• Historical Payment Behavior and Payment Patterns
• Key financial ratios that provide insight into liquidity and financial strength
• Internal experience with customer payments

The composition of credit data depends on the type of customer and the level of risk, but what they all have in common is that the data is used to assess the likelihood of timely payment.

Credit Information and Payment History

Payment behavior is an essential part of credit data. A customer’s history of on-time or late payments often provides a more accurate picture of risk than isolated incidents.

Changes in payment patterns can be early signs of financial difficulties and should be factored into ongoing credit management. By responding to such changes in a timely manner, the company can adjust its terms and reduce the risk of default.

Credit Data Before and After Default

Credit data is used both before and after a claim is potentially defaulted on:

• Before a default occurs, credit data is used to prevent problems by establishing realistic credit terms.
• Following a default, credit data can help assess a debtor’s ability to pay, facilitate discussions about solutions, and inform decisions regarding further collection efforts.

In this way, credit data links the preventive and reactive aspects of credit management.

Get access to valuable credit data

For many companies, the challenge is not finding data, but rather compiling credit data, keeping it up to date, and making it usable in day-to-day credit management.

At Qatchr, our credit data platform, we help companies work with credit data in a more structured and data-driven way. We do this, among other things, by:

• Credit Check, which provides an up-to-date overview of customers' financial circumstances
• Credit Monitoring, which enables an early response to changes in risk
• Data cleansing, which ensures that decisions are based on accurate and up-to-date information

By combining these services, we help businesses prevent payment problems, establish more precise payment terms, and reduce the risk of cases that end up in debt collection.

Why is credit data important?

Credit data makes it possible to make decisions based on facts rather than gut feelings. When used correctly, credit data helps to:

• fewer delinquent payers
• better liquidity
• more predictable payments
• Stronger and more professional credit management

As part of a comprehensive credit management system, credit data is therefore a key tool for protecting the company's finances.