Case Study: Etam achieves faster, more scalable data insights with Snowflake

Etam Turns Data Into Value, Providing Insights at Speed and Scale With Snowflake

Etam, the fashion provider, needed a simpler, more scalable way to turn the huge volumes of customer and browsing data it collected into usable insights. With Snowflake, Etam moved from an on-premises setup to the cloud and gained the ability to analyze data at speed and scale.

Using Snowflake’s AI Data Cloud, Etam automated and monitored its data environment, reduced engineering effort for data users by 50-100%, and cut project delivery time from at least six months to two-to-three months. The impact has included 8-15% improved forecasting accuracy and a forecasted €5-7 million ROI from two use cases, while enabling Etam to expand its data roadmap significantly.

Etam

Sophie Buresi

Data Director