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
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.
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.
Data
Retail
dbt
Snowflake
Fivetran
Looker
Meltano
dbt
Snowflake
Fivetran
Looker
Meltano
Explore more stories
Factory optimizes maintenance with AI
7.5%
REDUCTION IN PRODUCTION DOWNTIME
Pharma wholesaler boosts online orders
30%
INCREASE IN CUSTOMER PORTAL ORDERS
Financial firm integrates data & AI platform
Under 3
MONTHS FOR FULL PLATFORM INTEGRATION
Global beauty retailer transforms data platform
15x
COST SAVINGS VIA CLOUD MIGRATION
Energy provider boosts fraud detection
2x
INCREASE IN DETECTION ACCURACY
Bank accelerates payment data processing
98%
DECREASE IN CORE PROCESSING TIME
Ready for takeoff?
It's time to check in