WTW, an advisory, broking and solutions company, has announced the launch of the Radar Connector for Databricks, strengthening its end-to-end insurance analytics and pricing platform.
The new connector allows Radar users to connect securely to Databricks, removing manual data handling while speeding up analysis and improving data governance. Through the new integration, Radar users can choose Databricks as a data source and pull information directly from the Databricks Data Intelligence Platform in a single action. Once analysis is complete, results can be pushed straight back into Databricks, with the option to include these steps within automated workflows.
The Radar Connector for Databricks is designed to make data access quicker and easier. What was previously a time-consuming update process can now be completed in minutes, delivering efficiency gains for insurance teams.
Chris Halliday, Senior Director in WTW’s Insurance Consulting and Technology practice, commented: “The integration of Radar with Databricks gives a more efficient experience for insurers. Combining this with Radar’s existing capability to deploy Databricks machine learning models means Radar users can benefit from Databricks’ data and AI infrastructure capabilities.”
Marcela Granados, Global Head of Insurance, Databricks, added: “With Databricks, insurers can unify all their data – structured or unstructured – into a single, governed environment ready for Radar analysis. This integration turns that data into immediate, actionable insights by connecting Radar’s advanced pricing models directly to Databricks Agent Bricks with unified governance powered by Unity Catalog. The result is faster decisions, stronger compliance and the agility to innovate confidently in a highly regulated industry.”
Databricks enables insurers to prepare data from a wide range of sources, manage quality and lineage through Unity Catalog, and apply AI-driven insights across the organisation. Radar outputs can then be returned to Databricks for wider sharing, visualisation and exploration using tools such as AI/BI Genie and Agent Bricks.
