Beauty retailer scales sales with data platform upgrades

Beauty Retailer Data Platform

Our client is a retailer of skincare and beauty products in the US. Their growth and sales performance were stunted after their initial data service vendor left. They were looking to move on from their spreadsheet to a scalable, cloud-native solution to support retail operations.

5+

data sources onboarded into the platform

70%

increase in automated test coverage

Challenge

The client’s existing data platform was abandoned by the previous vendor, with the modern data stack toolkit laid out. They lacked a dedicated data team, and the incomplete platform hindered their sales performance.

Their goal was to move beyond spreadsheet-driven operations and create a more data-driven environment, while simultaneously building a cloud-native, scalable platform, adhering to the highest technical standards. 
 

Solution

We took ownership of the data journey as a vendor, building robust end-to-end pipelines and standardizing multiple data sources, including a Shopify migration.

In addition, we established test-driven development practices to ensure data quality and maintainability. Scalable architecture choices positioned the platform for long-term growth.

Beyond stabilizing operations, we supported the client’s rebranding efforts with a platform with expanded capabilities, further boosting sales.
 

Service

Data

Industries

Retail

Technologies

dbt

Snowflake

Fivetran

Looker

Meltano

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