Several techniques can be employed for data matching:
Deterministic matching: This involves using unique identifiers, such as Social Security Numbers, to match records. It is highly accurate but requires the presence of such identifiers. Probabilistic matching: This method uses statistical algorithms to match records based on the likelihood that they refer to the same entity. It is useful when unique identifiers are not available. Machine learning: Advanced algorithms, including machine learning techniques, can be used to improve the accuracy of data matching by identifying patterns and relationships in the data.
