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
Fill out the form to get your copy of Graph Data Science Use Cases: Entity Resolution.