When Connected Data Matters Most

Today’s most pressing data challenges center around connections, not just discrete data. That’s why you need a scalable, flexible way to define types of relationships in graphs. Explore the most common use cases and solutions powered by Neo4j, the world’s best 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: AML, anti-money laundering, bank fraud, Ecommerce Fraud, first-party fraud, fraud ring, Insurance Fraud, Link Analysis

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

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

Queries: Customer 360, Fraud Detection, Inventory, Logistics, Real-Time Recommendations, Supply Chain

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

Queries: Asset Management, Customer 360, Cybersecurity, Data Protection, Identity and Access Management, Impact Analysis

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

Queries: Anti Money Laundering (AML), Budgeting, Counterterrorism, Data Lineage, Logistics

Fast and effective regulatory compliance (GDPR, CCPA, 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

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 winners and losers based on who harnesses this technology for a true competitive advantage.

Queries: AI, Artificial Intelligence, Graph databases, Graph technology, graph visualization, Knowledge Graph, Machine Learning

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

Queries: Bioinformatics, Biomedical Knowledge Graph, Drug Discovery

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.

Queries: Anti Money Laundering (AML), Asset Management, Compliance, Financial Services, Fraud Detection, Regulatory Compliance, Risk 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 continuity.

Queries: Impact Analysis, Logistics, Risk Management, Supply Chain, Work Flow Processes

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 of mission-critical applications.

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

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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