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Retail & ecommerce · Snowflake

Simba Sleep Builds its Dream Data Platform With Snowflake’s AI Data Cloud

Public case study · not a Metric Oak engagement

reduction in data processing times
75%
months to deploy Snowflake
3

What happened

The story in brief

A UK direct-to-consumer sleep technology brand needed faster reporting and stronger security. Centralizing its data on Snowflake improved performance, accelerated reporting and strengthened security.

See the full retail & ecommerce benchmark

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Data platform engineering

Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.

  • Retail & ecommerce · Snowflake

    Accor

    2

    months to launch CDP after initial testing

  • Retail & ecommerce · Snowflake

    Etam

    8-15%

    improved forecasting accuracy

  • Retail & ecommerce · Snowflake

    Flix

    <30%

    Lower costs upon migration

Related insights

Frequently asked questions

What results did Simba Sleep report?

Simba Sleep reported 75% reduction in data processing times; 3 months to deploy Snowflake, according to its customer story published by Snowflake.

Which platform and technologies did Simba Sleep use?

Simba Sleep used Snowflake, including Snowpark, dbt, Fivetran, Power BI.

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: Simba Sleep Builds its Dream Data Platform With Snowflake’s AI Data Cloud (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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