Identity resolution and entity resolution are two closely related concepts, but they are not the same. While identity resolution refers to linking data and online activities to specific people or users, entity resolution is the same process that applies to linking disparate sources and fragments of information to specifically identified elements or to any type of entity, human or not. In other words, identity resolution is a special case of entity resolution in which one of the two references being resolved comes from a known identity. To better understand the difference between identity resolution and entity resolution, let's look at an example. Imagine a crime story in which the FBI is investigating a suspect's identity.
They take the fingerprints of the suspect and compare them with the fingerprints of known criminals. This process is an example of identity resolution, as it involves resolving a reference to an entity with a collection of known identities. In addition to identity resolution, there are other terms used to describe this process, such as entity resolution, identity mapping, record linking, data matching and record matching. All these terms refer to the same concept: linking disparate sources and fragments of information to specifically identified elements or entities. In an identity resolution architecture, incoming references are resolved based on a set of managed identities. This means that when a reference is received, it is compared against a set of known identities in order to determine if it matches any of them.
If it does match one of them, then the reference is linked to that identity. This process allows for the creation of detailed customer profiles that can be used to improve customer experience. The fundamental law of entity resolution reformulates the principle of data quality relating to the integrity of the entity's identity in the ER vocabulary. This means that when references are processed during an execution, information captured from them is used to create new identities or update existing ones. These references can be easily classified into different groups (entity resolution), but they also provide us with the identity of the visitor. Entity resolution consists of determining when references to entities in the real world are equivalent (they refer to the same entity) or not (they refer to different entities).
The explanation function and the identity management system use this indexing of references to identities. Once a reference with a variant attribute value to a given identity has been resolved using an identity rule that involves an approximate match, the value of the variant can be captured in both the identity index and the identity index. In these cases, the references receive a special link value that indicates that they do not refer to any managed identity. Identity resolution is an important business process that collects and compiles customer behavior in order to create a customer profile. This profile can then be used for various purposes such as improving customer experience or providing targeted marketing campaigns.