Entity Resolution

Data from separate systems often contains spelling differences, missing values, duplicate records, or inconsistent identifiers. Entity-resolution techniques combine rules, similarity matching, and machine learning to link those records into a more consistent view. Understanding it helps organizations design data platforms that support trustworthy reporting, automation, and model development at scale.