D&B Risk Analytics
Around the world, teams focused on risk management, procurement, and compliance face increasing demands to navigate the challenges posed by geopolitical and business risks. The intricacies of both domestic and international operations, alongside a myriad of regulations, significantly influence third-party risks. Therefore, it is essential for organizations to take a proactive approach in managing their relationships with third parties. This innovative platform, leveraging the D&B Data Cloud's extensive database of over 520 million global business records and more than 2 billion updates each year, serves as an AI-driven tool that continually assesses and mitigates counterparty risk. D&B Risk Analytics incorporates top-tier risk data, providing alerts on high-risk transactions and identifying connections across a billion data points, all of which empower businesses to make well-informed choices. Additionally, the platform's intelligent workflows facilitate rapid and comprehensive screening processes, ensuring timely alerts on critical business metrics. As a result, companies can enhance their risk management strategies and improve their overall operational resilience.
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D&B Finance Analytics
Dun & Bradstreet’s global data and analytics fuel AI-driven solutions for the credit-to-cash process. With D&B Finance Analytics, users benefit from an intuitive and adaptable platform that enables finance teams to enhance customer service, decrease expenses, and effectively manage risk. It empowers organizations to tackle credit and receivables risks, leading to reduced bad debts, lower Days Sales Outstanding (DSO), and improved cash flow. By streamlining manual decision-making, monitoring, customer interactions, and matching processes, businesses can operate more efficiently. Additionally, it provides customers with an online credit application and a payment portal that enhances the overall experience. The D&B Finance Analytics suite includes two key platforms: D&B Credit Intelligence and D&B® Receivables Intelligence, which work in tandem to deliver comprehensive insights and advanced technologies that drive success across all aspects of credit-to-cash operations. This integration allows users to swiftly identify credit risks, smoothly onboard new clients, and establish appropriate credit terms. Ultimately, these capabilities are designed to facilitate better financial management and foster growth.
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Axe Credit Portal
The Axe Credit Portal, an advanced software solution for automating loan origination from axefinance, can be deployed either on-premises or through a cloud-based SaaS model. Established in 2004, axefinance specializes in providing credit management automation software to various financial institutions, including traditional and Islamic banks, aiming to enhance productivity and customer service across diverse client categories, including corporate, retail, and SMEs. As a reliable partner, axefinance collaborates with prestigious global financial entities like Societe Generale, Al Rajhi Bank, and First Abu Dhabi Bank. Users of the Axe Credit Portal benefit from improved profitability, heightened productivity, and elevated customer satisfaction, all while ensuring compliance with rapidly evolving regulations. This comprehensive solution not only streamlines processes but also empowers organizations to adapt swiftly to market changes and client needs.
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Scorto Loan Manager SME
The difficulties associated with bad debts are especially significant for loans to small and medium enterprises (SMEs) when compared to other types of retail financing. To effectively address these challenges, it is crucial to utilize skilled personnel efficiently, a task that Scorto excels at. There is an urgent requirement to reduce the operational expenses linked to SME lending while also boosting overall operational efficiency. Given the fierce competition in the SME sector, it is vital to continuously refine credit strategies and accurately gauge performance metrics. A comprehensive financial evaluation of potential borrowers' businesses is essential, along with the automation of the loan application process for SMEs. Implementing pricing based on risk is critical, and it is equally important to carry out thorough credit risk assessments throughout each phase of the loan's lifecycle. Organizations must also prioritize the scoring, rating, and categorization of their clients. In addition, analyzing payment trends and evaluating credit risk entails estimating important parameters like the Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD), which are necessary for determining Risk-Weighted Assets (RWA) in accordance with Basel II standards. Moreover, integrating tools that support cross-selling and upselling strategies should be a priority, in conjunction with effective business rules and process management tailored for SME lending. Regularly automated reassessments of default risk and key financial ratios are critical for obtaining an accurate analysis of SMEs. By adopting this thorough approach, organizations not only mitigate risks but also promote sustainable growth and stability within the SME lending sector, ensuring that they remain competitive in an ever-evolving market.
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