The world of master data is changing. Data architects and application developers are swapping their relational databases with graph databases to store their master data. This switch enables them to use a data store optimized to discover new insights in existing data, provide a 360-degree view of master data and answer questions about data relationships in real time.

The size and complexity of your network and IT infrastructure requires a configuration management database (CMDB) more powerful than anything relational databases have to offer. Using a graph database like Neo4j, you discover new insights from existing data, including a 360-degree view of configuration data and real-time information on data relationships.

As fraudsters get more sophisticated, organizations are augmenting their fraud detection capabilities with Neo4j to uncover fraud rings and other sophisticated scams with precision and in real time. Whether it’s first-party bank fraud, money laundering, insurance fraud or e-commerce fraud, Neo4j helps you detect the key elements across different types of fraudulent activity.