Willis Towers Watson
Innovative analysis applications for the insurance industry
Industry
- Insurance
Customer application
- Risk analytics applications
NoSQL solution
Use case
- Caching
- Data marts
Product
Key features
- Multi-dimensional scaling
- In-memory database
- Cross datacenter replication
Willis Towers Watson is known for providing best-in-class analytical tools and data for the insurance industry. To maintain the highest standards, Willis decided to move their core risk analytics systems to a NoSQL database. After researching the top vendors, they chose Couchbase for its high availability, superior caching performance, and flexible data model for unstructured data. After consistently achieving high performance in their initial projects, Willis made Couchbase its NoSQL database solution for a wide range of business-critical and customer-facing applications.
"Couchbase is used as a fundamental part of Willis Group's risk analytic systems. The in-memory computing it enables has provided Willis Group's risk analytics system with the high performance, reliability, and scalability to tackle big data challenges."
Nigel Davis
Analytics IT Director, Willis Towers Watson
CHALLENGES
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Fast performance for industry-leading applications
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Flexible data model for unstructured data
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Zero downtime for business-critical applications
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Massive scalability to accommodate high data volume
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Integration with an existing Microsoft development environment
OUTCOMES
- Consistent high performance made Couchbase the go-to database for business-critical applications
- A schemaless data model easily supports unstructured data
- High availability using cross datacenter replication and auto-failover
- New clusters can be deployed with no downtime at the push of a button
- Easy integration with Microsoft
