D&B Finance Analytics
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
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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Axe Credit Portal
Axe Credit Portal – ACP – is a future-proof AI-driven solution to automate the loan process from KYC to servicing including scoring, automatic decisioning, limit management, and collateral management. ACP is a locally hosted or cloud-based solution for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (Retail, Commercial, Corporate, Sovereign, and FIs.)
ACP is a multi-segment digital lending solution covering not only Retail, Commercial, Corporate, FIs, and Sovereign segments but also other specific types of lending such as Microfinance, BNPL, Embedded financing, Islamic finance, Green Loans, debt servicers & collectors.
Axe Finance is the trusted partner of leading global banking institutions such as Société Générale, OTP Bank, APS Bank, Arab National Bank, Al Rajhi Bank, Saudi EXIM Bank, QNB, ADCB, FAB, Bank of Bahrain and Kuwait, Bangkok Bank, Vietcombank, VIB, Permata Bank, BRED Bank Cambodia, Fidelity Bank, Polaris Bank, African Development Bank Group. among many others.
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