Traditionally, business intelligence (BI) solutions have been built on relational databases and employ very well-established technology. They are used for reporting and for predictive analytics, identifying patterns of behavior that indicate fraud, for example. Graph databases, conversely, show connections and relationships among entities and are used in such applications as LinkedIn and Facebook. In the past few years, methods of integrating graph database technology with BI solutions have emerged in order to leverage their combined strengths.
Amy Hodler, Director of Graph Analytics and AI Programs at Neo4j, shares details around Neo4j’s BI Connector and the value it provides.
Keywords: business intelligence • Graph Database Technology • Graph Databases • predictive analytics • Relational Databases