Retail & ecommerce · Snowflake
Etam Turns Data Into Value, Providing Insights at Speed and Scale With Snowflake
Public case study · not a Metric Oak engagement
- improved forecasting accuracy
- 8-15%
- less engineering effort for data users
- 50-100%
What happened
The story in brief
A French lingerie and fashion retailer was moving from on-premises systems to the cloud. Rebuilding its data platform on Snowflake gave it faster, more scalable insights with less manual work.
See the full retail & ecommerce benchmarkPlanning something similar?
Cloud data migration
Legacy warehouse to lakehouse, with parallel-run validation. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did Etam report?
Etam reported 8-15% improved forecasting accuracy; 50-100% less engineering effort for data users, according to its customer story published by Snowflake.
Which platform and technologies did Etam use?
Etam used Snowflake, including Cortex AI, Streamlit, Tableau, Large language models.
How do these results compare with other retail & ecommerce programs?
See our retail & ecommerce benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Snowflake: Etam Turns Data Into Value, Providing Insights at Speed and Scale With Snowflake (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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