
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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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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Moody’s Risk Modeler
In order to enhance underwriting, risk transfer, and pricing strategies in a market that is increasingly complex, (re)insurers require advanced modeling software that provides quicker analytics, enriched insights, and streamlined workflows. Establishing Risk Modeler™ as the core of your integrated risk lifecycle offers this crucial advantage. With improved modeling transparency, flexibility, and customization, you can gain a better understanding of risk drivers. By incorporating third-party modeling, you can lower expense ratios, boost productivity, and refine risk insights. Additionally, the cloud-native architecture facilitates the development of innovative digital workflows that adapt to changing business needs. Risk Modeler boasts the capability to execute over 400 Moody’s RMS models, along with more than 300 models accessible through the Nasdaq platform, covering various regions, perils, and lines of business on a unified cloud infrastructure. This powerful tool positions (re)insurers to not only meet but exceed the demands of a dynamic market landscape.
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Scorto Loan Manager SME
The challenges posed by bad debts are more pronounced for SME loans compared to other retail financing options. To tackle these issues, it is essential to leverage skilled resources effectively, and no organization does this better than Scorto. There is a pressing need to lower operational costs associated with SME loans while simultaneously enhancing operational efficiency. In light of the intense competition within the SME market, it is crucial to continually refine credit strategies and accurately measure performance. A thorough financial analysis of potential borrowers' businesses is necessary, along with the automation of the SME loan application process. Implementing risk-based pricing is vital, as is conducting comprehensive credit risk assessments throughout the entire loan lifecycle. Companies must also focus on scoring, rating, and segmenting their clients. Additionally, evaluating payment dynamics and assessing credit risk involves estimating crucial parameters such as Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD), which are necessary for calculating Risk-Weighted Assets (RWA) as per Basel II guidelines. Furthermore, tools for supporting Cross-Sell and Up-Sell decisions should be integrated, along with effective Business Rules and Process Management for SME lending. Regularly automated re-evaluation of default risk and key financial ratios is essential for an accurate analysis of SMEs. This comprehensive approach not only mitigates risk but also fosters growth and stability in the SME lending landscape.
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