Fuzzy matching of company names is a technique used to match two strings of text that are not an exact match. This technique is particularly useful when merging two databases that contain similar but not identical company names. Fuzzy matching improves data quality, saves time, is cost-effective, and increases efficiency. By utilizing fuzzy matching techniques, companies can ensure that their data is accurate, reliable, and consolidated efficiently.

Our algorithm works by comparing each company name in a database to every other name in a different database. It then assigns a score to each pair of company names based on the degree of similarity between them. The algorithm considers factors such as spelling variations, punctuation, and word order.

To join two databases by the company name field.

The input is two lists of company names.

The output is a mapping between the two input lists.