When Connected Data Matters Most

Today's most pressing data challenges center around connections, not just discrete data. To overcome these obstacles, you need a connected data technology – a graph database. Explore below the most common use cases and solutions powered by Neo4j, the world's leading graph database.


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

    Queries: Anti Money Laundering (AML), Ecommerce Fraud, First-Party Bank Fraud, Insurance Fraud, Link Analysis

  • Tap into the power of graph-based search tools for better digital asset management using the most flexible and scalable solution on the market.

    Queries: Asset Management, Cataloging, Content Management, Inventory, Work Flow Processes

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

    Queries: Asset Management, Cybersecurity, Impact Analysis, Quality-of-Service Mapping, Root Cause Analysis

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

    Queries: Content & Media Recommendations, Graph-Aided Search Engine, Product Recommendations, Professional Networks, Social Recommendations

  • 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.

    Queries: 360-Degree View of Customer, Cross Reference Business Objects, Data Ownership, Master Data, Organizational Hierarchies

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

    Queries: Community Cluster Analysis, Friend-of-Friend Recommendations, Influencer Analysis, Sharing & Collaboration, Social Recommendations

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

    Queries: Access Management, Asset Provenance, Data Ownership, Identity Management, Interconnected Group Organization, Master Data, Resource Authorization

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

    Queries: Basel III, BCBS 239, CCAR, Compliance, Data Lineage, Data Protection, FATCA, FIBO, Financial Services, FRTB, GDPR, PII, Privacy, Regulatory Compliance, Risk Management


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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