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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Fraud.net
Best-in-class, Fraud.Net offers an AI-driven platform that empowers enterprises to combat fraud, streamline compliance, and manage risk at scale—all in real-time. Our cutting-edge technology detects threats before they impact your operations, providing highly accurate risk scoring that adapts to evolving fraud patterns through billions of analyzed transactions.
Our unified platform delivers complete protection through three proprietary capabilities: instant AI-powered risk scoring, continuous monitoring for proactive threat detection, and precision fraud prevention across payment types and channels. Additionally, Fraud.Net centralizes your fraud and risk management strategy while delivering advanced analytics that provide unmatched visibility and significantly reduce false positives and operational inefficiencies.
Trusted by payments companies, financial services, fintech, and commerce leaders worldwide, Fraud.Net tracks over a billion identities and protects against 600+ fraud methodologies, helping clients reduce fraud by 80% and false positives by 97%. Our no-code/low-code architecture ensures customizable workflows that scale with your business, and our Data Hub of dozens of 3rd party data integrations and Global Anti-Fraud Network ensures unparalleled accuracy.
Fraud is complex, but prevention shouldn't be. With FraudNet, you can build resilience today for tomorrow's opportunities. Request a demo today.
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Atmantara
Atmantara stands out as an advanced AI infrastructure solution designed specifically for financial organizations such as banks, insurers, and fintech firms, allowing them to securely and effectively deploy and scale custom machine learning models.
Tailored for highly regulated environments rich in data, Atmantara streamlines the entire machine learning lifecycle, from data ingestion to deployment, by providing a user-friendly platform that developers can easily navigate.
The platform features a range of both ready-made and customizable models to address diverse requirements, including:
• Fraud Detection
• Credit Risk Evaluation
• Customer Churn Prediction
• Claims Automation
• Debt Recovery
• Portfolio Optimization
• Compliance with Regulatory Standards
• Payment Process Enhancement
• Document Understanding
• Customer Behavior Insights
With real-time data pipelines, secure model deployment, and extensive audit functionalities, Atmantara equips teams to swiftly and accurately implement AI solutions, thereby promoting innovation within the financial industry. This capability enables organizations to leverage AI effectively, leading to improved decision-making and enhanced operational efficiency, while also fostering a culture of continuous improvement and adaptation to changing market dynamics.
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CreditLens
Moody’s Analytics offers the CreditLens platform, which enables financial institutions to refine their commercial lending practices by increasing process speed and efficiency. The platform employs advanced technology that ensures consistent data spreading, thereby facilitating in-depth analytics, including portfolio comparisons and benchmarking that enhance risk evaluations. Users benefit from detailed financial assessments that yield dual risk rating frameworks, or they can tailor these models to meet their individual internal credit guidelines and risk evaluation standards. Moreover, users can improve their risk analyses through relationship hierarchies, either developed within CreditLens or imported from their CRM systems, enabling extensive modeling across multiple risk entities and relationships. The platform also incorporates business rules aimed at minimizing errors and enhancing data integrity, allowing users to navigate the credit risk assessment process according to established banking regulations. In addition, it offers features for data auditability, deal approval workflows, conditions precedent, and compliance with covenants, thus ensuring alignment with both internal and external standards. Ultimately, CreditLens serves as a comprehensive solution designed not only to streamline the lending process but also to reinforce robust risk management practices, making it an invaluable asset for financial organizations. By leveraging its capabilities, institutions can achieve a higher level of operational excellence in their lending strategies.
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