WTW, an advisory, brokerage and solutions company, announced the launch of Databricks’ Radar Connector, enhancing its end-to-end insurance analytics and pricing platform.
The new connector allows Radar users to securely connect to Databricks, eliminating manual data processing while speeding up analysis and improving data governance. With the new integration, Radar users can select Databricks as their data source and extract information directly from the Databricks data intelligence platform in a single operation. Once the analysis is complete, the results can be pushed directly back to Databricks, with the option to include these steps in automated workflows.
Databricks’ radar connector is designed to make data access faster and easier. What was previously a time-consuming update process can now be completed in minutes, resulting in efficiency gains for insurance teams.
Chris Halliday, Senior Director, Insurance Consulting and Technology Practice at WTW, commented: “Radar’s integration with Databricks provides insurance companies with a more efficient experience. Combining this with Radar’s existing ability to deploy Databricks machine learning models means Radar users can benefit from Databricks’ data and AI infrastructure capabilities.”
Marcela Granados, Global Head of Insurance at Databricks, added: “With Databricks, insurance companies can unify all data (structured or unstructured) into a single controlled environment, ready for Radar analytics. This integration works by connecting Radar’s advanced pricing models directly to Databricks Agent Bricks and using Unity Catalog Delivered unified governance that turns data into immediate, actionable insights. The result is faster decision-making, greater compliance, and the agility to innovate with confidence in a highly regulated environment.
Databricks enables insurance companies to prepare data from a variety of sources, manage quality and lineage through Unity Catalog, and apply AI-driven insights across the organization. The radar output can then be returned to Databricks for wider sharing, visualization and exploration using tools such as AI/BI Genie and Agent Bricks.