Case Study: Otrium boosts personalization and saves €160,000 with Fivetran

Otrium drives ecommerce growth with personalization, saves €160,000

Otrium, a fast-growing European fashion retailer, needed to modernize its data platform to keep up with rapid growth. Its small data team was spending too much time maintaining fragile pipelines and supporting a legacy setup, while fragmented and slow data access caused inventory issues and made personalized marketing difficult. Otrium turned to Fivetran to simplify data ingestion and centralize data across sources.

With Fivetran, Otrium built a Customer 360 on Databricks and enabled real-time access to data for smarter pricing, customer analysis, and future machine learning projects. The results included a 10x increase in code release efficiency, an 87% reduction in pipeline maintenance issues, and savings of €160,000 annually in data engineering costs, while freeing up the equivalent of two data engineers to focus on higher-value work.

Otrium

Rob Myers

Lead Data Engineer