Case Study: Willis Towers Watson achieves high-performance, reliable, scalable risk analytics with Couchbase

Willis Towers Watson Best-in-class analytical apps and data

Willis Towers Watson, a global risk advisor to the insurance industry, needed faster, more reliable analytics to support its core risk‑analysis systems and client tools. The analytics team evaluated NoSQL options and selected Couchbase to improve speed, availability and scalability while fitting into the company’s Microsoft development environment.

By adopting Couchbase, Willis gained high availability (replication and auto‑failover), in‑memory caching performance, and a flexible data model for unstructured data, all validated through open‑source testing. Couchbase became the de facto NoSQL solution for business‑critical and customer‑facing applications, delivering the reliability, scalability and performance needed to handle millions of data items and big data analytics.

Willis Towers Watson

Nigel Davis

Analytics IT Director