Graph Data Science Use Cases: Entity Resolution

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Summary

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 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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