Case Study: VEED cuts BigQuery costs by 30% with Masthead Data

Veed cuts BigQuery compute costs by ~30% with Masthead Data

The customer, Veed, an AI video creation platform, faced the challenge of managing its massive BigQuery compute costs across multiple Google Cloud projects. With a lean team of three data engineers, they needed to reduce these significant expenses and free up budget for AI innovation without diverting engineering resources to build internal FinOps dashboards. They turned to vendor Masthead Data for its data observability and FinOps solution.

Masthead Data provided Veed with immediate visibility into its BigQuery spend, quickly identifying that 30% of costs were generated by Fivetran and pinpointing unused processes. The solution automated optimizations, including moving workloads to reservations. As a result, Veed achieved a 30% BigQuery compute cost reduction within four days, improved pipeline performance, and freed up budget to reinvest in Google Cloud's AI capabilities.

Veed