Business

Entity resolution (also known as data matching, data linkage) is the process of identifying and disambiguating real-world entities such as people, places, organizations, and products in unstructured data. For example, teams may be keeping track of customers in different ways, using alternative spellings or abbreviations.

Software tools have been developed to automate the process of data matching. In this article, we’ll take a look at the available types of data matching tools, how they work, and some use cases for each.

The term “heterogeneous data” refers to a body of data that comprises multiple formats and sources. For example, customer data may be scattered across various databases, CRM systems, and spreadsheets. With so many sources involved, it can be difficult to get a complete and accurate picture. In enteprise settings and companies relying heavily on data,