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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Predict360, by 360factors, is a risk and compliance management and intelligence platform that automates workflows and enhances reporting for banks, credit unions, financial services organizations, and insurance companies.
The SaaS platform integrates regulations and obligations, compliance management, risks, controls, KRIs, audits and assessments, policies and procedures, and training in a single cloud-based SaaS platform and delivers robust analytics and insights that empower customers to predict risks and streamline compliance.
Happy with your current GRC but lacking a true analytics and BI tool for intuitive executive and Board reports? Ask about Lumify360 from 360factors - a predictive analytics platform that can work alongside any GRC. Keep your process management workflows intact while providing stakeholders with the timely reports and dashboards they need.
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Moody's Intelligent Risk Platform
Moody's Intelligent Risk Platform™ (IRP) is a cloud-based solution crafted to improve risk evaluation and decision-making processes for insurers, reinsurers, and brokers alike. Drawing on more than three decades of experience in risk analytics, this platform incorporates leading Moody's RMS™ models to deliver comprehensive insights into a range of hazards, including both natural disasters and human-induced events. Its modular design presents a collection of applications—such as Risk Modeler™, UnderwriteIQ™, TreatyIQ™, and ExposureIQ™—that optimize workflows throughout the insurance value chain, spanning from underwriting to portfolio management. Hosted on Amazon Web Services (AWS), the IRP guarantees scalability, adaptability, and a commitment to ongoing innovation, with updates introduced every six weeks. Furthermore, the platform is compatible with over 700 third-party and proprietary models, thanks to its Open Modeling Engine, which promotes a cohesive approach to multi-vendor risk modeling. Ultimately, this innovative solution empowers users to make more informed decisions, aligning risk management strategies with the dynamic nature of the market.
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CyberCube
CyberCube's analytics platform offers a comprehensive suite of data, signals, and models designed to enhance cyber risk quantification. It facilitates (re)insurance placement, informs underwriting choices, and optimizes portfolio management, all underpinned by advanced cloud technology. Our clients gain access to the largest investment globally in analytics, models, and services tailored specifically for the cyber insurance domain. As a proactive and reliable contributor to the industry, we collaborate with various stakeholders to create top-tier solutions. Our team, comprising hundreds of leading experts in fields such as data science, cybersecurity, artificial intelligence, threat intelligence, actuarial science, software engineering, and insurance, helps unlock significant business potential within cyber insurance. This expertise allows for a nuanced understanding of enterprise risk profiles, enhancing individual risk underwriting, while also facilitating informed decision-making at the portfolio level through predictive models. By leveraging our platform, organizations can better navigate the complexities of cyber risk.
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