Data Matching Techniques

Data matching techniques involve comparing and linking data from different sources to identify records that refer to the same entity, such as a person or item. This process uses algorithms that analyze details like names, addresses, or identifiers, considering variations or errors. Techniques include exact matching (perfect matches), fuzzy matching (handling minor differences), and probabilistic matching (using statistical methods to estimate likelihood of matches). These methods help organizations consolidate data, improve accuracy, and support better decision-making by ensuring that information about the same entity is correctly unified across systems.