Graph Data Science Use Cases: Entity Resolution

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Businesses need solid, reliable data. With multiple streams of data flowing in, consolidating customer profiles is challenging. Entity resolution, or disambiguation, enables you to create unique, valuable entity profiles.

Graph-based approaches to entity resolution allow you to use not only the traditional identifiers of an entity – such as names, addresses, and other personal identifiable information – but also actions and behavior to literally “connect the dots” between entities.

In this brief paper, you will:

  • Learn three techniques for graph entity resolution
  • See a graph data model for consolidating website visitors
  • Find out which graph algorithms to use – and tradeoffs to consider
  • See how Meredith Corporation drove over 600% more engagement

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