Entity Resolution

Entity resolution, also known as record linkage or deduplication, is the process of identifying and merging data records that refer to the same real-world entity across different data sources. It involves matching and linking records based on similarities in their attributes, despite inconsistencies in the data such as misspellings, abbreviations, or variations in formatting.

Entity resolution utilizes various techniques such as exact and similarity matching, clustering, and machine learning algorithms to identify matching entities. It aims to eliminate duplicate records and integrate disparate data sources into a coherent and comprehensive entity dataset. By resolving entities, organizations can enhance data quality, gain a unified view of their data, improve decision-making processes, and ensure consistency and accuracy in various applications such as customer relationship management, fraud detection, and data integration.

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