Tech Insights
Entity Resolution

Entity Resolution

Last updated , generated by Sumble
Explore more →

What is Entity Resolution?

Entity resolution (also known as record linkage, data linkage, object identification, or deduplication) is the task of identifying records in a dataset or across multiple datasets that refer to the same real-world entity. It is commonly used to improve data quality, consolidate customer information, detect fraud, and build a unified view of entities across disparate systems. It typically involves comparing records based on multiple attributes (e.g., name, address, phone number) and applying matching algorithms to determine if they represent the same entity.

What other technologies are related to Entity Resolution?

Entity Resolution Complementary Technologies

NLP techniques are useful for Entity Resolution, especially when dealing with unstructured data or textual attributes. It can help in name matching, address parsing, and other tasks related to understanding and processing textual data for identifying and linking entities.
mentioned alongside Entity Resolution in 0% (56) of relevant job posts

Which job functions mention Entity Resolution?

Job function
Jobs mentioning Entity Resolution
Orgs mentioning Entity Resolution
Data, Analytics & Machine Learning

Which organizations are mentioning Entity Resolution?

Organization
Industry
Matching Teams
Matching People

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.