Dun & Bradstreet is a global provider of business decisioning data and analytics. Its primary focus is to help companies enhance their business performance. Its Data Cloud operates to fuel solutions and provide insights that allow businesses to increase revenue, reduce cost, minimize risk, and transforms their functionalities. Founded in 1841, Dun & Bradstreet has supported businesses of diverse size in risk management and opportunity revelation.
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One of the most important features for my use-case is D&B Hoovers functionality to display a comprehensive overview of corporate family structure - it's great to see the full company hierarchy, subsidiaries in the family tree and corresponding number of employees. The interface makes it easy to find companies and access key details like DUNS number, website, and LinkedIn pages quickly and efficiently. Finding the prospects (ICP) based on the set criteria worked really well for the team in order to find specific accounts for white-space tagging exercises.
Its easy to navigate, the filters behave the way theyre supposed to, and exporting or moving what you find into your pipeline is smooth and low-friction. If the underlying data is correct, the structuretitles, org layout, ownershipis laid out clearly, which makes scanning for the right person straightforward. The interface is the strong point; the mechanics work even if the data behind them often doesnt.
It is very user friendly at both API and manual level. The dashboards are very intuitive and easy to navigate.
Sometimes the information can be slightly outdated or incomplete, especially for smaller companies. It would be great if data like employee counts or contact details were refreshed more frequently.
The weakest link is data accuracy, and it affects almost everything you try to do with the tool. Too many contacts are outdatedpeople whove left, retired, or diedso outreach becomes guesswork. The financials are unreliable, even for public companies, and the modeled revenue is inaccurate enough to flood searches with the wrong targets. Time-sensitive info like leadership changes is almost always behind the curve. The platform itself works; the data inside it cant be trusted.
The accuracy of the data when compared to the data we sent in, hovers around 70%. As mentioned, DnB has some old data and or compares to their data pieces that may be quite outdated.