Financial services · Snowflake
Zurich Uses External Lidar Data to Deliver More Transparent Policy Pricing and Meaningful Underwriting Insights
Public case study · not a Metric Oak engagement
- data points in the UK’s national lidar data set
- 300B
- to process everything
- 100 Hours
What happened
The story in brief
A global insurer wanted more precise property risk pricing. By processing hundreds of billions of public lidar data points in Snowflake, it improved underwriting insight and made policy pricing more transparent.
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Data platform engineering
Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.
Frequently asked questions
What results did Zurich report?
Zurich reported 300B data points in the UK’s national lidar data set; 100 Hours to process everything, according to its customer story published by Snowflake.
Which platform and technologies did Zurich use?
Zurich used Snowflake, including Snowpark, Streamlit.
How do these results compare with other financial services programs?
See our financial services benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Snowflake: Zurich Uses External Lidar Data to Deliver More Transparent Policy Pricing and Meaningful Underwriting Insights (opens snowflake.com in a new tab) on snowflake.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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