EXPERTS UTILIZE THE WORLD WIDE WEB TO BUILD THE ULTIMATE B2B REFERENCE SET

In data science, a ‘match’ is only as good as the reference set being used to render it. If a match gets recorded against an inaccurate reference set, then significant gaps in business insights arise. Data vendors have historically matched accounts using a traditional approach called ‘fuzzy matching’. However, there is a new innovation powered by machine learning and natural language processing technology that is completely revolutionizing the way businesses organize and leverage data across the company. Below are details about this critical data management topic, including definitions, the unique challenges of B2B account matching, expert commentary, and the innovation changing the world of B2B data.