Quick question for the governance folks here 👋 We talk a lot about data quality, lineage, access, policies… But how many teams actually have clear accountability at the compute level? In large BigQuery setups, we often see: - Pipelines still running with no downstream usage - No clear owner of slot consumption - Cost visibility that stops at “the invoice" We looked at this through the lens of slot efficiency and workload-level governance — basically how to tie compute, ownership, and efficiency together across projects. If relevant, sharing the guide here:https://mastheadata.com/slot-efficiency-guide Curious how others approach compute governance.