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