Dun & Bradstreet’s worldwide network is committed to providing the highest quality data possible. To realise quality standards with global consistency, we process all data via our patented DUNSRight method.
Which standards do we aim for?
We define data quality by measuring the following aspects:
To meet the above standards we collect, aggregate, edit, and verify data from thousands of sources daily. With 5 million updates a day we enrich +330 million company records via our patented DUNSRight™ process.
Our goal is to ensure high quality norms globally. Our DUNSRight™ Quality Assurance includes over 2,000 separate automated checks, plus many manual ones, to ensure the data meets our high quality standards. In addition, five quality drivers work sequentially to collect and enhance the data. Our ability to turn an enormous stream of data into high quality business information is what sets us apart from our competitors.
The output of this master process?
High quality company data, accessible via powerful Altares Dun & Bradstreet platforms and API’s for you to efficiently consult all insights needed. All from one trusted source.
How the DUNSRight™ process works
Global Data Collection brings together data from a variety of sources worldwide on a daily basis.
We integrate the data into our database through Entity Matching, which produces a single picture of the correct business entity.
We apply the D-U-N-S® Number as a unique means of identifying and tracking a business globally through every step in the life and activity of the business.
Identify related businesses
We use Corporate Linkage to enable our customers to view their total risk or opportunity across related businesses.
Add predictive modelling
Finally, our Predictive Indicators use statistical analysis to rate a business’ past performance and to indicate how likely the business is to perform that same way in the future.
Quality data & insights
The output of this proces? High quality insights on the business universe for professionals to build valuable relationships.
How can we help?
Would you like advice on how your organization benefits from data or do you have a question regarding data quality? Please fill in our web form. We will get in touch with you as soon as possible.