Our dashboards use historical data to predict the future likelihood of slow payments and business failures to help businesses manage risk and make decisions, e.g. granting credit. We know these decisions are tougher than ever in the current climate.
Our predictive scores use tangible factors
such as payment history and financial performance to assess the risk level of doing business with a given company, using data from over 30,000 sources. Key data sources for our scores and ratings include company accounts, business payment data, corporate linkage, court information, and events that signal the onset of failure.
COVID-19 and employee suspension are having an impact on the availability of some source data, such as company account records and processing delays occurring in courts. As a result, we expect a reduction in changes to scores and ratings until business transactions and official filings return to normal.
We are still sourcing data
from other sources, but we expect scores to change less frequently whatsapp number list until the lockdown ends and business activity starts to return to normal again. Our data scientists are lending their analytical skills and capabilities to help organizations across the public and private sectors.
Our team of economists has adjusted ~70 country risk ratings since the virus took hold and continues to produce reports to support businesses operating on a global scale across multiple regions.
During this time
we recommend that clients use our scores along with additional factors such as what is trade credit and how can it help your business? existing levels of exposure and known impacts of COVID-19 around current work practices when setting client credit limits.
Changes to our scoring methodology could impact our customers and the businesses to which the scores relate. We have made the decision not to change our existing scoring and credit limit models at this time.
Scores will change as we receive updates through our data supply chain, and we will keep the situation under close review.
Non-statistical events
at individual businesses that cannot be included in automated scorecards may dating data be subject to review, adjustment, and override through our score review process. We are not changing our existing model for score overrides at this time. We will consider and request actions within the scope of our existing policy and the normal course of business.
To complement our existing scoring models, we are developing a new COVID-19 Impact Index to support our clients. The Dun & Bradstreet COVID-19 Impact Index complements Dun & Bradstreet’s risk scores and provides insight into the potential impact of the pandemic on a company’s operational activity, as well as its network of suppliers and customers.