Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Learn More →

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This Week in Neo4j – 27 May 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: Florin Pătraşcu This week’s featured community member is Florin Pătraşcu, System Architect at… Learn More →

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Relevant Search Leveraging Knowledge Graphs with Neo4j

“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Learn More →

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Digitalization & Optimizing Business Performance at Hästens

Editor’s Note: This presentation was given by Anders Ekström and Kent Lovestjärna at GraphConnect Europe in April 2016. Here’s a quick review of what they covered: The digitalization of mattress buying Data integration with Neo4j New graph, new business opportunities… Learn More →

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How Walmart Uses Neo4j for Retail Competitive Advantage

In a little over 50 years, Walmart grew from a small, family-owned business to become the world’s largest public corporation, with over 2 million employees and annual revenues of $470 billion. But Walmart didn’t just become the world’s largest retailer… Learn More →

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Reshipping Scams and Network Visualization

GraphConnect 2014 Sponsor, Linkurious, discuses mapping fraud with Neo4jOriginally posted on the Linkurious blogDrug lords are not the only persons using mules to launder money. eCommerce operations are confronted to “reshipping scams”. In these scams, mules are used by online… Learn More →

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