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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Salford Predictive Modeler (SPM)
The Salford Predictive Modeler® (SPM), software suite, is highly accurate and extremely fast for developing predictive, descriptive, or analytical models. Salford Predictive Modeler®, which includes the CART®, TreeNet®, Random Forests® engines, and powerful new automation capabilities and modeling capabilities that are not available elsewhere, is a software suite that includes the MARS®, CART®, TreeNet[r], and TreeNet®. The SPM software suite's data mining technologies span classification, regression, survival analysis, missing value analysis, data binning and clustering/segmentation. SPM algorithms are essential in advanced data science circles. Automation of model building is made easier by the SPM software suite. It automates significant portions of the model exploration, refinement, and refinement process for analysts. We combine all results from different modeling strategies into one package for easy review.
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RDC Platform
The RDC Platform enhances expert human expertise with advanced AI functionalities, equipping financial institutions with a distinct advantage in the lending sector. With an emphasis on ethical AI principles to maintain compliance, our tools enable lenders to visualize and comprehend the reasoning behind each AI-driven predictive model and decision-making strategy. By harnessing a combination of traditional, alternative, and latent data alongside cutting-edge AI methodologies, we facilitate precise predictions and optimal decision-making results. Recognizing the importance of safely integrating AI, we have developed a distinctive approach known as the Self-describing decision, which fosters confidence and transparency in achieving your safety objectives. This innovative concept encapsulates all components in a single data object, elucidating every aspect involved. It provides a thorough record of all model features, predictions, reference data, and rules activated during the decision-making process. With governance and explainability inherently incorporated, we ensure that these elements are consistently present, reinforcing the reliability of AI-driven decisions. This comprehensive strategy not only supports compliance but also builds trust in AI technologies within the financial sector.
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