Case Study: Oscaro achieves scalable, real-time Big Data analytics and rapid insights with BIME Analytics + Google BigQuery

Oscaro.com handles its Big Data analysis with the 100% Cloud combo: BIME + Google BigQuery

Oscaro.com, a leading online retailer of new and used automotive parts (≈€300M revenue, 450,000 parts), faced rapidly growing data — up to 5 TB/year and 150–200% annual growth — that outpaced its RDBMS/OLAP architecture. Business users struggled to access and cross‑analyze heterogeneous data from many sources, creating slow, complex reporting and an information asymmetry between technical and non‑technical teams.

Oscaro moved to a 100% cloud stack: Hadoop for preprocessing, Google BigQuery for scalable, seconds‑scale querying, and BIME as a cloud BI front end to query BigQuery live and publish dashboards. Deployed in under six months, the solution unified data definitions, cut analysis time dramatically (from ~half a day to ~5 minutes), reduced infrastructure overhead, and enabled deeper, cross‑departmental insights and faster, shareable reporting.

Oscaro

Romain Nio

Data Management Team Leader