Case Study: Sunrun achieves 50% faster time-to-insight and scalable self-service analytics with Looker

Powering Enterprise Digital Transformation at Sunrun

Sunrun, the leading U.S. residential solar provider, faced rapid growth that strained its legacy data stack and created data silos, IT bottlenecks, and slow, manual reporting—hindering real-time decision-making and scalable analytics. A full “lift and shift” was too risky, so the company needed a phased, business-aligned approach to modernize without disrupting operations.

Working with Google Cloud, Sunrun migrated to BigQuery and Looker in 18 months, using a hub-and-spoke, self-service model and LookML to centralize KPIs and minimize ETL. The move delivered a 50%+ reduction in data lifecycle time, 60%+ faster development cycles and engineering efficiencies, fully cloud-based infrastructure, trusted company-wide metrics, and faster, data-driven decisions.

Sunrun

Harish Ramachandraiah

Senior Manager Business Intelligence and Analytics