Case Study: Fortune 50 Retailer achieves 91% query cost reduction and seamless Google BigQuery migration with AtScale

Fortune 50 Retailer Modernizes Analytics With Atscale

Fortune 50 Retailer needed to modernize analytics and move thousands of internal and external users from on‑premise platforms to the cloud without disrupting business. The organization sought a scalable semantic layer that would replace legacy SSAS/Teradata/Hadoop infrastructure, enforce security and access controls, and enable migration to Google BigQuery; they partnered with AtScale and its semantic layer platform to meet those needs.

AtScale implemented a virtualization‑based semantic layer to replace SSAS OLAP instances and seamlessly redirect existing models to BigQuery (often within a single weekend), preserving reports and dashboards with no changes. The AtScale solution cut query cost by 91%, supported 12K users migrated in weeks, handled 17K+ queries per day, extended data retention from 3 months to 3 years (a 1,200% increase), reduced query times, and saved the retailer millions while improving scalability and cost predictability.