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Entity resolution and analysis (ER&A) is a process that helps administrators to gather together a complete body of data about one particular item or object. It helps solve different problems resulting from data entry errors, aliases, information silos and other issues where redundant data may cause confusion.
Using aspects of data integration and master data management, ER&A integrates different iterations of some “real-world noun” whether it is a physical or a digital asset or some other item. For example, the same business entity may be talked about in different ways on different social media platforms. Administrators want ways to address this and bring together all of these different references to the same central business or entity in one place so that they can compare these different sources and process them for redundancy and duplication, and make them consistent. Another example is where a sophisticated IT structure may have different sets of photos for the same building or property in different information silos. Again, ER&A would compile all of these in one central place for the purposes of deduplication and data management. ER&A also goes by other names such as record linkage, reference matching, deduplication and object consolidation. ER&A is used in many different industries, from public health and clinical IT, to counter-terrorism and comparison shopping.