When Connected Data Matters Most
Today's Enterprises' biggest data challenges are around connections within data. To overcome this, Softlink would recommend a connected data technology – a graph database. Review the most common use cases and solutions employed with 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
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, Identity Management, Interconnected Group Organization, Resource Authorization