Case Study: DOUGLAS centralizes 200+ data sources and accelerates analytics with Fivetran

How Fivetran centralised DOUGLAS’ 200+ data sources

DOUGLAS, Europe’s leading premium beauty platform, needed to support its “Digital First” shift with stronger BI and data analytics. Before working with Fivetran, the company relied on scattered systems, spreadsheets, and manual input to collect data from 200+ sources, making its reporting and analytics processes difficult to scale.

Fivetran helped DOUGLAS implement an automated modern data stack with Fivetran for data integration, Snowflake as the data warehouse, and Tableau for analytics. With around 200 active connectors, Fivetran centralized data from marketing and commerce systems, cut manual reporting work, saved about 30% of time previously spent building and maintaining pipelines, and eliminated the equivalent workload of 2–3 full-time employees while delivering 99.9% uptime and more actionable business insights.

DOUGLAS

Jonas Rashedi

Director of Data Intelligence & Technologies