Case Study: Urban Sports Club achieves faster analytics and reduced time to decision with Qlik (Stitch)

Urban Sports Club boosts engineering efficiency and reduces time to decision

Urban Sports Club is a European fitness membership platform with 10,000 partner clubs across multiple countries, offering hundreds of activities from gyms to niche sports. As its business and data volumes grew, legacy in‑house pipelines became slow, error‑prone, and hard to maintain, limiting visibility across three key ecosystems (members, partners, and corporate buyers) and slowing time to insight.

Urban Sports remodeled its stack—retaining SQL production databases, moving transformations to Google BigQuery, and outsourcing data loading to Stitch (Qlik)—centralizing migration and using standard connectors for ~80% of volume. The result: loading times fell from ~6 hours to 1.5 (a ~400% improvement), new sources can be added in as little as two days (down from a week), engineers are freed to work on ML and higher‑value tasks, and the company gains faster, more accurate analytics to better match supply and demand.

Urban Sports Club

Artur Yatsenko

Head of Data Platform and Product Analytics