WTW Launches Radar Connector for Databricks to Enhance Insurance Analytics and Pricing
WTW Launches Radar Connector for Databricks to Enhance Insurance Analytics and Pricing
WTW, the advisory, broking and solutions company, has announced the launch of the Radar Connector for Databricks, further strengthening its end-to-end insurance analytics and pricing platform.

WTW, the advisory, broking and solutions company, has announced the launch of the Radar Connector for Databricks, further strengthening its end-to-end insurance analytics and pricing platform.

The new connector enables Radar users to connect securely to Databricks, eliminating manual data handling while accelerating analysis and enhancing data governance. Through the integration, users can select Databricks as a data source, pull data directly from the Databricks Data Intelligence Platform in a single action, and push results back into Databricks once analysis is complete. These steps can also be embedded within automated workflows, supporting more streamlined and repeatable processes.

Designed to simplify and speed up data access, the Radar Connector significantly reduces the time required to update datasets. Tasks that previously took considerable manual effort can now be completed in minutes, delivering meaningful efficiency gains for insurance teams.

Chris Halliday, Senior Director in WTW’s Insurance Consulting and Technology practice, said:
“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 at Databricks, highlighted the value of unified data environments for insurers. She said that Databricks enables insurers to bring together structured and unstructured data into a single, governed platform ready for Radar analysis, turning that data into actionable insights through direct integration with Radar’s pricing models and Databricks’ governance framework.

Databricks supports insurers in preparing data from multiple sources, managing data quality and lineage through Unity Catalog, and applying AI-driven insights across the organisation. Radar outputs can then be shared back into Databricks for broader use, visualisation and exploration using tools such as AI/BI Genie and Agent Bricks, enabling faster decision-making and stronger compliance in a highly regulated industry.

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