Case Study: Saks achieves data efficiency and enables AI with Fivetran

A Fivetran Case Study

Preview of the Saks Case Study

Saks achieves data efficiency and enables AI with Fivetran

Saks, the luxury retail and e-commerce brand, needed to replace cumbersome legacy ETL pipelines that were slow, hard to monitor, and delayed data-driven decisions. To support its digital transformation, Saks turned to Fivetran along with dbt and Snowflake to modernize its data stack and improve time to value.

With Fivetran, Saks onboarded 35 data sources in 6 months and can now bring in new sources within hours, with data refreshed as often as every 5 minutes. Fivetran helped Saks create a leaner, cloud-based architecture that improved KPI consistency, reduced engineering overhead, and enabled AI/ML experimentation and better customer experiences.


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Saks

Mike Hite

Chief Technology Officer


Fivetran

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