Dun & Bradstreet Partners with Perplexity to Enhance Business Intelligence Workflows

Dun & Bradstreet (D&B), a renowned provider of commercial data, has recently joined forces with Perplexity to revolutionize the way businesses access and utilize risk and growth analytics. The collaboration introduces the D&B Commercial Graph™ into the Perplexity platform, facilitating a seamless integration through Model Context Protocol (MCP) servers. This integration is poised to significantly impact workflows across various functions within enterprises, including finance, compliance, risk management, procurement, and sales.

The D&B Commercial Graph™, anchored by the globally recognized D-U-N-S® Number identifier, serves as a foundation for understanding intricate business identities and relationships across the global economy. With only 6% of enterprises claiming their data is adequately prepared for AI implementation, this partnership addresses a critical gap between artificial intelligence adoption and the required data readiness. According to D&B's AI Momentum Survey, an overwhelming 75% of organizations report measurable returns on investment from AI, highlighting the growing significance of data-driven decision-making.

By integrating D&B's verified business context and risk intelligence right where teams operate, organizations can streamline their processes and reduce overloaded data management challenges. The business intelligence derived from the D&B Commercial Graph significantly enhances users’ capacities to validate business identities, manage risk, evaluate supplier relationships, and ensure regulatory compliance in their onboarding processes.

Alex Zuck, General Manager of D&B's Risk Business, emphasizes the efficiency this integration provides. “Clients can replace prolonged, fragmented manual processes with a streamlined workflow, allowing for rapid corporate onboarding through automated identity verification and risk insights,” he stated. Early adopter results indicate significant increases in review capacity and substantial reductions in processing times and false positives in compliance workflows. Specifically, enterprises reported up to a 20-fold increase in review capability and a processing time that was reduced by as much as 96%.

With the capacity to access a database comprising over 650 million global business entities, users can easily confirm business identities, assess risks across their supplier networks, and automate documentation required for compliance needs. D&B's commitment to maintaining high data accuracy leads to improved trust among users, as they can trace the context behind each data point they utilize in real-time.

While the DB Commercial Graph and DB Risk Analytics connectors are now available on the Perplexity marketplace, users have also begun to adapt custom workflows that leverage the robust D&B analytics and business context. Jeff Grimes, Head of Live Events product at Perplexity, remarked, “Enterprise teams seek fast, reliable answers, and by linking the DB Commercial Graph to our platform, we enable quicker and more confident decision-making.”

The partnership marks a significant advancement in how enterprises can harness data for strategic advantages, emphasizing the importance of reliable, validated information as businesses navigate today’s increasingly complex landscape. This integration isn't just about making better decisions; it is about empowering organizations to act swiftly with a newfound agility in their operational practices. As AI continues to evolve, collaborations like that of Dun & Bradstreet and Perplexity set the standard for integrating verified insights into commercial workflows, paving the way for a more efficient future in business operations.

In conclusion, this strategic partnership not only strengthens the fabric of enterprise data management but also reinforces the need for continuous improvements and innovations in harnessing risk intelligence and commercial context. Businesses looking to leverage such advancements need look no further than this collaboration, which brings the future of intelligent, data-driven decision-making to the present.

Topics Business Technology)

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