SeenPixelService
Warehouse cost-recovery audit
A fixed-fee, read-only review of your Snowflake, Databricks or BigQuery account. You get a prioritized savings plan and the fixes, not a slide about FinOps.
Why now
According to dbt Labs' State of Analytics Engineering 2026, compute costs are up about 50% while only 36% of teams have rising budgets. According to the FinOps Foundation (2026), 37.8% of FinOps teams already manage data cloud platforms and another 34.2% expect to within twelve months. The places to look are well known: settings nobody has revisited since the platform was set up, and queries nobody owns.
What we look at
Compute
Warehouse and cluster sizing, auto-suspend and scaling settings, idle time, queued and spilled queries, concurrency.
Queries and models
The most expensive queries and dbt models by credits, full scans, repeated work that caching or incremental models would remove.
Storage and movement
Time travel and fail-safe retention, unused tables and clones, cross-region and egress charges, serverless features that bill quietly.
Scheduling and tooling
Pipelines that run more often than the data changes, BI tools that refresh extracts all day, duplicated jobs across teams.
Governance of spend
Resource monitors, budgets, tags and chargeback. Who can create a warehouse, and who finds out when the bill moves.
What you get
- A prioritized savings plan: each item with the estimated monthly effect, the effort to implement and the risk
- The fixes themselves for the quick items, applied with your approval during the audit
- Pull requests or scripts for the rest, with tests where behavior could change
- A spend dashboard and alerts so the bill does not drift back
- A short written report your finance team can read
How long
- Days 1–3
NDA, read-only role, usage export. First look at the top twenty cost drivers. - Week 1–2
Full review, plan drafted, quick fixes applied with your sign-off. - Week 2–3
Remaining fixes as pull requests, dashboard and alerts, written report, walkthrough.
Fixed fee, agreed before we start. No numbers promised before we have looked.
Questions we get
Which platforms do you audit?
Snowflake, Databricks and BigQuery. The checklist differs by platform; the method is the same: read-only access, usage history, a prioritized plan, then the fixes.
What access do you need?
A read-only role with access to account usage and query history, granted after an NDA. No production credentials leave your environment. See the security page.
How long does it take?
Two to three weeks from access to plan. Quick fixes are applied during that window, with your approval; the rest are handed over as pull requests or scripts.
How much will we save?
We do not promise a number before looking. Savings depend on how the platform is used today; the plan shows the estimate for each item and what it is based on.
Will anything break?
Changes are made one at a time, with a rollback, and the risky ones are tested against query history first. Right-sizing a warehouse is reversible in minutes.
What happens after the audit?
Nothing is owed. The savings can fund a next step, such as a semantic layer or an ask-your-data pilot, but that is a decision for after the plan, not before.
Send us last month's bill
A free readiness scan looks at your usage history read-only and tells you whether an audit is worth it. If it is not, we say so.