When Connected Data Matters Most

Early graph innovators have already pioneered the most popular use cases – fraud detection, personalization, customer 360, knowledge graphs, network management, and more.

Building upon their efforts, the next generation of graph thinkers are engineering the future of artificial intelligence and machine learning.

Fraud Detection & Analytics

Real-time analysis of data relationships is essential to uncovering fraud rings and other sophisticated scams before fraudsters and criminals cause lasting damage.

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Network and Database Infrastructure Monitoring for IT Operations

Graph databases are inherently more suitable than RDBMS for making sense of complex interdependencies central to managing networks and IT infrastructure.

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Recommendation Engine & Product Recommendation System

Graph-powered recommendation engines help companies personalize products, content and services by leveraging a multitude of connections in real time.

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Master Data Management

Organize and manage your master data with the flexible and schema-free graph database model in order to get real-time insights and a 360° view of your customers.

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Social Media and Social Network Graphs

Easily leverage social connections or infer relationships based on activity when you use a graph database to power your social network application.

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Identity & Access Management

Quickly and effectively track users, assets, relationships and authorizations when you use a graph database for identity and access management.

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Retail

Neo4j powers real-time product recommendation engines, customer experience personalization, and supply-chain management for retailers.

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Telecommunications

Learn how Neo4j helps the telecommunications industry manage complex interdependencies in telecommunications, IT infrastructure, and other dense networks.

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Government

Learn how governments use Neo4j fight crime, prevent terrorism, improve fiscal responsibility, boost efficiency and provide transparency to their citizenry.

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Data Privacy, Risk and Compliance

Fast and effective regulatory compliance (GDPR, CCPA, BCBS 239, FRTB…). Manage enterprise risk while leveraging connected data to drive better business intelligence

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Artificial Intelligence and Analytics

Artificial Intelligence (AI) is poised to drive the next wave of technological disruption across nearly every industry. Just like previous technology revolutions in web and mobile, however, there will be...

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Life Sciences

Pharmaceutical companies, chemical manufacturers and biotech companies are using Neo4j to analyze data in ways not previously not possible without graphs.

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Financial Services

From risk management to securities recommendations, context is key. Find out why top banks across the globe are using Neo4j to solve their connected data challenges.

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Neo4j for Graph Data Science

Today’s businesses are faced with extremely complex challenges and opportunities that require more flexible, intelligent approaches. That's why Neo4j created the first enterprise graph framework for data scientists – to...

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Supply Chain Management

Graph technology is essential to optimize the flow of goods, uncover vulnerabilities and boost overall supply chain resilience. Discover how Transparency-One, Caterpillar and others use graph technology to ensure business...

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Knowledge Graph

Knowledge graphs ensure search results are contextually relevant to your needs, but that’s just the beginning. Organizations like NASA, AstraZeneca, NBC News and Lyft use knowledge graphs for a variety...

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Ready to get started?

Your enterprise is driven by connections – now it's time for your database to do the same. Click below to download and dive into Neo4j for yourself – or download the white paper to learn how today's leading enterprises are using Neo4j to achieve sustainable competitive advantage.

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