Data Talks, Episode 4: Why Match Accuracy Is Critical

Episode Four: Why Match Accuracy Is Critical

Host: George L'Heureux, Principal Consultant, Data Strategy
Guest: Tim Petre, Data Strategy Consultant

“Match starts everything. We’ve got to make sure that we’re providing the customer with the best record that we have, and it’s working with the customer to ensure that they’re providing the highest quality input data.”

Matching, also known as Identity Resolution, is connecting your organization’s data to a trusted set of commercial reference data. This is done to help cleanse your records of faulty data (for example, a typo or wrong information) or to append additional information to a record.

The matching process does its best to ensure that the right information is associated with the right business so that an organization can strengthen confidence in its decision making. This can lead to more operational efficiencies, increased sales, reduced risk and other business use cases.

In this episode of Data Talks, Dun & Bradstreet Data Strategy Consultant Tim Petre discusses the basics of matching, and how we help our customers understand the connection between their data and Dun & Bradstreet data, which includes information on more than 400 million global businesses in our Data Cloud.