Credit Rating Data: Best Credit Rating Datasets & Database Sources

Credit Rating Data Explained

How is Credit Rating Data collected?

Both businesses and individuals have credit scores, which are statements of their financial positions. Credit rating data providers gather this data, combining it with a scoring algorithm. The final result is what is used as credit rating data. Statements of financial positions can be gathered from company registries, or public records for companies, and for individuals, they can be accessed through bank or book keeping data. Based on the information accrued, a scoring model is created, and it is this model that determines whether to approve a loan and what interest rate to charge, based on the borrower’s eligibility and financial ability.

What are the attributes of Credit Rating Data?

A typical credit rating dataset exists for the purpose of rating the creditworthiness or eligibility of an individual or business. Therefore, it would typically be comprised of information that describes the financial activities of the borrower. The level of detail depends on what sort of economic activity that the individual or company is involved in. In light of this, there are attributes of a credit rating dataset that are constant across all cases. They are: a history of the business or individual’s payments or expenditures; information on their history with credit (that is, if they have borrowed before, and how it went the last time); previous uses of credit facilities; what type of credit facilities have been requested, and any new credit facilities they’ve used. Individual income and personal wealth also are important to credit rating, so frequently feature in credit rating datasets.

What is Credit Rating Data used for?

Credit rating data plays a prominent role in the credit facilities industry. It helps run operations in this sector smoothly. Credit rating data can be used in credit risk analysis, especially by banks and other lending financial institutions to determine the extent of risk on loaning out to a particular individual or business. Credit rating data is also useful for managing risk in credit, risk assurance, predictive analysis and other financial information related use cases. In the development of expansion strategy, credit rating is also useful information, as it helps to map out policies and means by which expansion can be achieved safely.

How can a user assess the quality of Credit Rating Data?

To assess the quality of credit rating data, then it must be timely to be useful. Check whether it’s up-to-date. Credit rating data must have been verified as accurate data from various sources. It should also pass the test for any errors and omissions. It is also important that you verify the credibility of the data provider to complete the metrics of data quality assessment on a dataset.