Data Matching is the process of comparing and identifying records from different datasets that refer to the same entity, such as a person, organization, or product. This technique is essential in various fields, including marketing, finance, and healthcare, where accurate data is crucial for decision-making. The goal of Data Matching is to improve data quality by eliminating duplicates and ensuring consistency across datasets. It often involves using algorithms and techniques like fuzzy matching to account for variations in data entry, such as misspellings or different formats, thereby enhancing the reliability of the information used in analysis.