Retail Banking
Retail banking is a highly dynamic industry that deals with vast amounts of interconnected data on a daily basis. Retail banks require robust and efficient solutions to manage and leverage this data effectively. This is where Neo4j, a graph database, emerges as an ideal fit for retail banking operations.
Neo4j’s graph database model is inherently well-suited for representing complex relationships between entities. In the retail banking context, this translates into capturing and analysing intricate connections among customers, accounts, transactions, products, and more. By using a graph database like Neo4j, retail banks can gain valuable insights into customer behaviour, transaction patterns, and risk analysis.
Use Cases
Transactions Graph
All these use cases use the same base data model, which you can find Transaction and Account Data Model