Graph Technology Is in the POLE Position to Help Law Enforcement [Video]

A great graph database use case that is starting to emerge is the use of graph technology as a way to better support the police and other law enforcement officials, which also has applications for other security and investigative use… Read more →

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Graph Algorithms in Neo4j: Streamline Data Discoveries with Graph Analytics

To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →

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Graph Algorithms in Neo4j: How Connections Drive Discoveries

Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →

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GDPR Compliance: 4 Simple Steps to Building a GDPR Solution

According to PwC, 92 percent of multinational companies cite compliance with the looming General Data Protection Regulation (GDPR) data privacy regulations as a top data-protection priority. More than three-quarters of those organizations have allocated over a million dollars for related… Read more →

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GDPR Compliance: Why Graph Technology Is the Fastest (and Most Future-Proof) Solution

According to Eurostat, 81% of Europeans feel they don’t wholly control their online data and 69% worry that firms might use their data for purposes other than those advertised. The European Union’s General Data Protection Regulation (GDPR) states that individuals… Read more →

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Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]

Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →

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Retail & Neo4j: Pricing & Revenue Management

It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →

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Retail & Neo4j: Supply Chain Visibility & Management

Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →

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Retail & Neo4j: Customer Experience Personalization

To remain viable, today’s retailers must be nimble enough to face their colossal online competition while also addressing another new reality of retail: The customer is now at the center of the value chain. In order to adapt to these… Read more →

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Driving Predictive Analytics with the Power of Neo4j

Editor’s Note: This presentation was given by Blake Nelson and Deve Palakkattukudy at GraphConnect San Francisco in October 2016. Presentation Summary Agero has been the industry leader in roadside assistance for the last 40 years. Much of their business depends… Read more →

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Data Profiling: A Holistic View of Data using Neo4j

Summary Data profiling is a widely used methodology in the relational database world to analyse the structure, contents and metadata of a data source. Generally, data profiling consists a series of jobs executed upon the data source to collect statistics… Read more →

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Forrester Research: Graph Databases Vendor Landscape [Free Report]

In 2015, analyst firm Forrester Research published a vendor landscape report on the state of graph databases. It included a few graph technology vendors, several graph use cases and described Neo4j as the “most popular graph database.” Since then, graph… Read more →

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Announcing the Neo4j GraphTour in 8+ Cities Worldwide

This spring, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionising the modern enterprise. The GraphTour Basics This one-day local event will turn you into a graph… Read more →

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Analyzing the Paradise Papers with Neo4j: A Closer Look at Queries, Data Models & More

Our friends from the ICIJ (International Consortium of Investigative Journalists) just announced the Paradise Papers this past week, a new trove of leaked documents from the law firm Appleby and trust company Asiaciti. Similar to the Panama Papers before (which… Read more →

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Neo4j: The Power behind the Paradise Papers

Once again, the International Consortium of Investigative Journalists (ICIJ) has shaken the world with a far-reaching, in-depth investigation into the shadowy world of offshore finance: The Paradise Papers. Using Neo4j, the ICIJ has built upon their Pulitzer Prize-winning investigation of… Read more →

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Retail & Neo4j: Personalized Promotion & Product Recommendations

Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →

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Neo4j Graph Database 3.3 Release: Everything You Need to Know

As part of the Neo4j Graph Platform announced at GraphConnect New York last week, we are excited to announce the general availability release of the Neo4j Graph Database version 3.3. At the heart of the Graph Platform is the native… Read more →

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Cybersecurity & Graph Technology: An Excellent Fit

Cybersecurity We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic… Read more →

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Rapid Graph Technology Prototyping of Sub-Contractor Relationships

ISN is the leading provider of Health Safety and Environmental (HSE) management systems for contractor engagement. ISN collects and verifies HSE information from contractors to ensure that they are meeting the necessary requirements before they are allowed to come on… Read more →

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GraphGrid: A Secure Global Connected Data Platform

In early 2016, we started pioneering a unique frontier in cloud where many companies including Amazon Web Services (AWS) have not ventured: The deployment automation of secure, globally connected virtual private clouds (VPCs). We see the ability to communicate securely… Read more →

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7VORTEX: Systems Thinking Powered by Graph Technology

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out… Read more →

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The Top 10 Reasons You Should Attend GraphConnect New York

This autumn, GraphConnect will again be in the town that never sleeps – New York City! Whether you’re new to the world of graph database or you’ve been a part of the movement for some time, there’s something new for… Read more →

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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… Read more →

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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… 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… Read more →

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