Fuzzy match is a technique used in data processing to identify similar but not identical entries. It helps in finding matches that may have slight variations, such as typos, different spellings, or formatting differences. This is particularly useful in databases where consistent data entry is challenging, allowing for more accurate data analysis and retrieval. For example, when searching for the name John Smith, a fuzzy match might also identify entries like Jon Smith or John Smithe. This approach enhances the effectiveness of search algorithms and improves the quality of data integration across various systems.