Top 10 Graph Database Use Cases: Fraud Detection

Discover how you can tap into the power of graph databases for fraud detection to catch criminals in real time.

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11 Awesome Neo4j Blogs from 2020

Check out 11 awesome Neo4j blogs from 2020 on topics ranging from FinCEN files and COVID-19 graphs to knowledge graphs and AI.

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Visualizing Fraud with Neo4j and GRANDstack

Learn how Neo4j and the other premium tools in GRANDstack build a graph and timeline visualization app that drives fraud investigations.

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The Neo4j BI Connector: Introduction

Read blog one in our five-part series on how the Neo4j BI Connector bridges the gap between the tools people love and the query language those tools use.

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Find More Fraud with Graph Data Science [Infographic]

Learn how graph data science enables teams financial institutions to detect even the most sophisticated fraud schemes.

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#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editorial Assistant, Corin Gainey, gave us a quick start to Summer of Nodes with Neo4j Sandbox.… Read more →

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Chaos Engineering with Neo4j

Explore how to do chaos engineering if Neo4j is part of your application stack, and obtain foreknowledge of how to save the day when bad things happen.

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Predicting Fraud: 5-Minute Interview with Marius Hartmann

Check out this week’s 5-Minute Interview with Marius Hartmann, Chief Advisor at the Danish Business Authority, about predicting fraud.

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#GraphCast: How to Solve a Crime with Graph Theory

Check out this week’s #GraphCast, featuring a brief explainer video on how graph theory could be used to solve crimes. Watch the video to learn more.

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This Week in Neo4j – Web Applications with Neo4j and TypeScript, Neo4j Desktop Release, Graph Embeddings Tutorial

Hi graph gang, In this week’s video, Adam Cowley starts a video showing how to build web applications with Neo4j and TypeScript. Stefan Dreverman builds a new module in the low code platform, Rik Van Bruggen explains what Fraud Detection… Read more →

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Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering

Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

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See Your Graphs in Bloom: The 5-Minute Interview with Anurag Tandon, Neo4j

Check out this 5-minute interview with Anurag Tandon of Neo4j, who discusses graph data visualization tool Bloom and its best use cases.

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Detecting Cryptocurrency Fraud with Neo4j

As cryptocurrency is likely to play a big role in the future of finance, link analysts need graph visualization fraud detection tools that are up to the job.

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Anti-Money Laundering Compliance with Graph Technology [Infographic]

Money laundering is a major challenge for financial organizations. Learn how graph technology solves compliance challenges associated with money laundering.

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This Week in Neo4j – New Book: Fullstack GraphQL Applications with GRANDstack, Leveraging Graph Algorithms In Visualizations, Marketing Activities in Neo4j

Check out this week’s TWIN4J, in which Mark Needham wraps up the latest on the new book on full-stack GraphQL, graph algorithms and more.

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