IRIS vs. D&B Finance Analytics

The IRIS workflow effectively tackles the widespread issue of managing active counterparty credit risk by integrating a diverse range of processes, from the collection of trading data to the re-booking of trades, encompassing essential tasks such as curve stripping, consistent pricing, a comprehensive aggregation module, the calculation of hedge requirements, and the exploration of What-if scenarios. Designed as a parallel distributed application, it makes optimal use of multi-core systems to ensure high efficiency and performance. Moreover, an advanced high-performance computing (HPC) solution that leverages GPU and multicore processors is available, significantly accelerating the processes of pricing and Greeks computations. A key aspect of its design is the seamless integration capability of IRIS engines into existing complex systems, which enhances adaptability. By utilizing the .NET development framework, it ensures interoperability and compatibility across various programming languages. Additionally, IRIS offers full support for FpML and integrates with numerous market data providers like Reuters, Bloomberg, and Markit, ensuring a smooth data stream integration. The system's internal data is entirely accessible, facilitating thorough audits of computational details and reinforcing transparency and trust in its outputs. Overall, the IRIS workflow stands as a strong and effective solution for the contemporary challenges associated with credit risk management, ultimately positioning itself as a vital tool for financial institutions navigating this complex landscape. Its comprehensive approach not only addresses current needs but also anticipates future demands in the field.

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.