Case Study: Toyota achieves 21x faster time-to-insight and 60% ROI improvement with AtScale

Atscale Helps Toyota Modernize Analytics

Toyota, an international automotive company consolidating 35+ North American entities, needed to modernize its data warehousing and analytics to eliminate weeks-long waits for manual data engineering, break down thousands of siloed data marts, and provide high-performance, governed analytics with zero disruption to users. Already using AtScale, Toyota pursued a move from its legacy on-premise warehouse to Amazon Redshift, with AtScale’s semantic layer as the foundation for self-service BI and cloud transformation.

AtScale implemented a semantic layer that enabled multidimensional modeling on Redshift and seamless connections to Tableau and Power BI, supporting thousands of users while preventing resource overconsumption and unifying definitions and governance. The AtScale-led approach delivered measurable impact: a 21x reduction in time to insight, a 60% improvement in ROI through lower infrastructure costs and faster analytics, doubled user access to data, and millions of dollars saved — all with no disruption to end users.

Toyota