Data is so often siloed across an organization, making it difficult to get a 360-degree view of your customers. Neo4j Graph Data Science uses connected data analysis techniques to explore the relationships in data to power customer 360.

In this webinar, you’ll learn how Graph Data Science is more effective for building and consolidating customer records than traditional data science methods. Plus, you’ll see how other organizations improved segmentation and campaign targeting.

Join us for this 20-minute webinar from a Graph Data Science expert to get a brief overview of: 

  • Graph Data Science
  • Why Graph Data Science is better at solving specific data problems
  • How Graph Data Science methods improve Customer 360 over traditional data science methods
  • How organizations improve targeting and conversion rates with Graph Data Science for Customer 360

Nick Johnson
Product Marketing Manager - Graph Data Science, Neo4j

Nick Johnson is a Product Marketing Manager for Graph Data Science at Neo4j, where he works to bring Graph Data Science to life with highly targeted messaging, positioning, case studies, content, and more. Prior to Neo4j, Nick worked in Product Marketing across several organizations including Microsoft, SAS, and Orbit. Nick holds a Master’s degree in International Development from Sciences Po and Bachelor degrees in International Studies and Swedish from the University of Washington.

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