WTW Radar integrates with Snowflake to deliver effortless data integration and real-time insights

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WTW Radar integrates with Snowflake to deliver effortless data integration and real-time insights

WTW (Willis Towers Watson, NASDAQ: WTW) today
announced the introduction of the Radar Connector for Snowflake, enhancing WTW’s
market-leading, end-to-end insurance analytics and pricing platform. This new integration
with Snowflake, the AI Data Cloud company, enables Radar users to access data securely
and directly from the Snowflake platform, supporting better-informed analytical decisions
without the need for data transfers or duplication.


As the industry becomes more data-hungry, insurers are under increasing pressure to
access wider data sets to improve risk assessment and pricing models. Challenges involve
manually transferring data between independent systems, creating and importing copies
from data stores into a secure folder before being uploaded into a separate analytics
environment. This process can then need to be reversed when analytics results are saved
back into data stores. This complex and costly process introduces delays and the risk of
error, data corruption or file inconsistencies.
The integration between WTW Radar and Snowflake enables analysts working with Radar

to access raw data by selecting Snowflake as a data source and retrieving data from the
platform in a single step. After completing their analysis, users can automatically transfer
results directly back into Snowflake.


By side-stepping file export/import delays, the Radar Connector for Snowflake significantly
reduces time and effort compared to traditional processes. The total turnaround time for a
data update, which previously required several hours, can now be completed within minutes,
resulting in a significant efficiency gain. In addition, data does not leave the Snowflake and
Radar environment, improving security and the ability to govern the end-to-end process.
Chris Halliday, Senior Director, Insurance Consulting and Technology, WTW, said: “The
integration of Radar with Snowflake enables insurers to seamlessly access data from
Snowflake for better-informed analysis.”
Rinesh Patel, Global Head of Financial Services, Snowflake, said: “This integration replaces
a manual, complex workflow with a streamlined, automated process. The Radar Connector
for Snowflake enables increased speed, accuracy and security, allowing teams to dedicate
more time to analysis instead of operational tasks. We are excited to bring this connector to

market by combining the strengths of both Radar and our easy, connected and trusted
platform.”
Key benefits of the Radar Connector for Snowflake include:

  • Fewer steps: Streamlined one-click data transfer replaces tedious export/import cycles.
  • Faster insights: Near-instant access to data accelerates analysis and model
    deployment.
  • Reduced errors: Automated pipeline minimises human error from manual file handling.
  • Bi-directional integration: New ability to directly write results back into Snowflake
    (closing the loop with no extra steps).
  • Scalability: Seamless integration with existing workflows and tools (e.g. BI dashboards),
    scaling as data grows.
  • Cost-effective: Data accessibility reduces the need for custom integration solutions,
    saving both time and resources.