Bad credit decisions, based on bad data, can impact cash flow and lead to bad debt. With our credit risk management solutions, you can leverage customizable online credit applications, access comprehensive credit reports, issue instant credit decisions, and standardize your credit review processes. When you can quickly identify changes in risk, you can better predict which customers can pay on time and within terms to fully optimize your company’s credit capacity.
Explore D&B Finance Analytics Credit IntelligenceManaging credit risk and achieving growth in an increasingly fragmented and regulated global business environment is no easy task. Complex organizations need to deploy consistent and standardized global credit and risk policies through a centralized solution. Dun & Bradstreet can help provide unified risk management across multiple geographies and systems, delivering unparalleled globally consistent data and predictive insight to power your most critical credit decisioning processes.
Explore D&B ERAMDun & Bradstreet, a leading global provider of business decisioning data and analytics, is renowned for our powerful proprietary credit risk scores and ratings such as the D&B PAYDEX® and the D&B® Delinquency Predictor Score. Our proven analytic models – which are developed, validated, and maintained in the Dun & Bradstreet Data Cloud – can be easily embedded in any platform to provide the intelligence you need to better manage credit risk.
Explore Dun & Bradstreet’s Scores and AnalyticsDuke Energy knew that in order to create an efficient credit review process, having comprehensive data was critical. The company needed a solution that allowed for quick, comprehensive quarterly credit reviews of its large portfolio of customers. Duke Energy uses DNBi’s advanced rules-based capabilities to automate and systematize its new credit applications and account management processes, combining its credit policy and accounts receivable information with data and insights from Dun & Bradstreet’s Data Cloud to proactively manage portfolio risk.