Graph Data Science: Get a 360-Degree View of Your Customers
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.
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 session 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
Register today to learn more about how Neo4j Graph Data Science enables more accurate customer records compared to traditional data science methods so you can build marketing campaigns that convert.
David Allen is Technology Partner Architect at Neo4j. He is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before.