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Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they… Learn More →
Learn about how Neo4j is used for a 360-view of customer experience in the financial services sector
 

Graph Algorithms: Make Election Data Great Again

Editor's Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and the 2016 U.S. Presidential election data using graph algorithms. To begin, Swain discusses the role of social media influencers... Read more →

Rank provides a high-level graph algorithm

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Financial Services & Neo4j: 360-Degree View of Customer Experience

Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they are, their communication preferences, the products and services they’ve purchased in the past and what they... Read more →

Learn about how Neo4j is used for a 360-view of customer experience in the financial services sector

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This Week in Neo4j – 19 August 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Michelle Sanver This week’s featured community member is Michelle Sanver, Software Developer at Liip. Michelle Sanver - This Week's Featured Community Member Michelle has been a member of the Neo4j... Read more →

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RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?

Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property graphs both provide ways to explore and graphically depict connected data. But the two are very different – and each have different strengths in different use cases. In this... Read more →

Watch Jesús Barrasa’s presentation on RDF and Label Property Graphs

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A Game of Data and GraphQL [Game of Thrones Community Post]

This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data. As season 7 is progressing, interest around Game of Thrones data is flaring up again. There are plenty of very thorough data sources like the A Wiki of Ice and Fire and the Game of Thrones... Read more →

Learn how to use Neo4j + GraphQL to analyze data from Game of Thrones and A Song of Ice and Fire

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The Top 13 Resources for Understanding Graph Theory & Algorithms

Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part of assisting with this ongoing project, I needed to come up to speed as well as compile a list of graph algorithm and graph theory resources. Although... Read more →

Learn our top picks for resources on graph theory and graph algorithms from beginner to advanced

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