AI-driven solutions for credit-to-cash powered by Dun & Bradstreet’s global data and analytics. D&B Finance Analytics offers AI-driven solutions backed by the Dun & Bradstreet Data Cloud. D&B Finance Analytics is a flexible, easy-to-use tool that helps finance teams reduce costs, improve customer service, and manage risk. Manage credit and receivables risks to minimize bad debts, reduce DSO and improve cash flow. Automate manual decisioning and monitoring, customer communication, and matching. Offer your customers an online credit application as well as a payment portal. D&B Finance Analytics consists of two platforms: D&B Credit Intelligence and D&B®, Receivables Intelligence. Together, they provide powerful insights and technologies to help you accelerate your success throughout all your credit-to cash processes. You can quickly gain visibility into credit risks, onboard customers, and set the right terms.
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D&B Credit Insights is a comprehensive credit monitoring solution tailored for small business owners who want full visibility and control over their business credit profile. It offers unlimited access to your Dun & Bradstreet credit file, including essential scores like PAYDEX®, Delinquency, Failure Score, and Supplier Evaluation Risk. Real-time alerts notify you instantly of any changes or legal events such as lawsuits, liens, or judgments that might impact your credit. The platform also enables you to benchmark your credit performance against competitors to set achievable goals and improve your financial health. Additional features include detailed payment history, financial statement comparisons, and integration with your business bank account for seamless updates. The higher-tier plans provide dark web monitoring and allow you to compare your credit alongside other companies. D&B Credit Insights helps you proactively manage your credit profile and make smarter business decisions. With a clear view of your credit data, you can boost trust with lenders, investors, and suppliers.
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ZScore
Reevaluate your strategies regarding credit risk management with our premier product, ZScore, which empowers you to leverage the precision and capabilities of AI for creating highly effective credit scorecards throughout the credit lifecycle. Experience the ability to process loan applications in real time, significantly enhancing customer satisfaction. Our cutting-edge machine learning algorithms ensure thorough testing, training, and validation of models to guarantee their reliability. The ZScore can be swiftly implemented and integrated into your current infrastructure, thanks to our sophisticated architectural design and API capabilities that facilitate seamless incorporation of existing technologies. This powerful proprietary AI stands out in the industry for its unmatched speed, accuracy, and functionality, all delivered through an intuitive and cost-effective platform accessible to every member of your team. Furthermore, creditX is one of the pioneering AI technologies globally to successfully pass AI Verify, a comprehensive and impartial global framework that rigorously assesses the performance of AI systems, thus reinforcing our commitment to excellence in credit risk assessment. By choosing ZScore, you are not only adopting a tool but joining a movement towards smarter financial decision-making.
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CreditLens
The CreditLens platform from Moody’s Analytics empowers financial organizations to enhance their commercial lending strategies by promoting greater speed and efficiency in their processes. Its cutting-edge technology facilitates uniform data spreading, which supports comprehensive analytics, such as portfolio comparison and benchmarking that improve risk assessments. Users can tap into robust financial evaluations that generate dual risk rating models, or customize rating models to align with their specific internal credit standards and risk assessment criteria. Additionally, refine your risk evaluations through relationship hierarchies either created within CreditLens or imported from your CRM systems, allowing for extensive modeling across various risk entities, relationships, and hierarchies. The platform also incorporates business rules to reduce errors and boost data accuracy, guiding users through the credit risk assessment process in line with established banking policies. Furthermore, it provides options for data auditability, deal approval structures, conditions precedent, and adherence to covenants, ensuring compliance with both internal and external policies. Ultimately, CreditLens stands as a comprehensive tool designed to optimize the lending process while ensuring thorough risk management practices.
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