UBS Implements Neo4j for Improved Risk Management and Compliance
Technology Category
- Analytics & Modeling - Real Time Analytics
- Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
- Equipment & Machinery
- Finance & Insurance
Applicable Functions
- Quality Assurance
Use Cases
- Real-Time Location System (RTLS)
- Track & Trace of Assets
Services
- System Integration
The Challenge
UBS needed to comply with regulations for risk data aggregation and internal risk reporting in the wake of the 2007 global financial crisis. They needed to provide transparency into data flows and have detailed data lineage.
The Customer
About The Customer
UBS is a multinational investment bank and financial services company based in Switzerland. They operate in five main business areas and have offices in more than 50 countries. UBS needed a solution to comply with regulations and improve risk management.
The Solution
UBS built a data lineage and data governance tool called Group Data Dictionary (GDD) using Neo4j, a graph database. Neo4j offered advantages over a relational database, including easier traversal of connected data using Cypher query language. UBS synchronized Neo4j with their legacy Oracle system for smooth integration.
Quantitative Benefit
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