Case Study: Grain Group reduces BigQuery costs by 90% with Windsor.ai

Grain Group cuts BigQuery costs by 90% with Windsor.ai

Grain Group, a top digital marketing agency, faced significant challenges scaling their data infrastructure with Supermetrics. Their per-connector pricing model created financial friction, manual processes for merging data consumed excessive time, and inefficient data queries led to soaring BigQuery costs, hindering their growth.

By switching to Windsor.ai, Grain Group implemented an automated ELT platform. Windsor.ai's solution provided a scalable pricing model, automated data upserts to maintain historical accuracy, and optimized data partitioning. This resulted in a 90% reduction in BigQuery costs, saved 40 hours of manual work per week, and built an AI-ready data infrastructure for advanced client reporting.

Grain Group