DWH Audit Tool for BigQueryGet an AI-readiness score in ~2 minutes.
Quantify documentation gaps and metadata consistency issues that break conversational analytics and agentic workflows. Metadata-only audit. No data values read.
See what you’ll get in minutes
A fast, metadata-only audit that produces a score, a short executive summary, and a transparent audit log.
Scope selection: datasets and tables
Audit in progress: checklist + status
A practical AI-readiness snapshot
AI fails on ambiguous, undocumented, inconsistent data environments. This audit makes the problem visible quickly, with measurable signals you can act on.
Completeness
How much of your table and column metadata is actually documented (descriptions filled in).
Consistency
Whether reused column names carry consistent meaning across tables, or drift into conflicting definitions.
Scope readiness
How many tables meet a baseline of readiness (table description + high coverage of column descriptions).
What you get from the free audit
A clean summary you can share with leadership plus the underlying evidence (audit log) for your data and security teams.
Executive snapshot
A short summary of what blocks reliable conversational analytics and agentic workflows today.
Quantified problem size
Tables/columns missing descriptions, unique columns, and the scale of inconsistency across datasets.
Transparent audit log
See exactly what was queried (metadata-only) so security and data teams can review everything.
PDF export
Share the report with leadership: score, breakdown, key metrics, and next best actions.
From connect to report
The MVP is built for speed: connect BigQuery, select scope, run. No long onboarding, no waiting days for a first signal.
01
Connect BigQuery
On a short setup call, we connect BigQuery (Service Account key). Free audit runs metadata-only queries and never reads table values.
02
Pick your scope
We define the scope (datasets/tables) and confirm counts, size, and a pre-check before running the audit.
03
Run audit and export
Get results in ~2 minutes, export a PDF, and inspect the audit log for full transparency.
Cost and transparency
The free tier uses metadata-only queries, with estimated cost typically shown as < $0.01. Every query is logged so you can review what happened.
Before you run it
Run the audit, then decide what to fix.
Book a short call to get the audit enabled. If you want help interpreting results or building the roadmap to AI-ready analytics, we can cover that too.
Free tier promise
Metadata-only, no values read, results fast, exportable report, and a full audit log.
BigQuery-first
Built for BigQuery now, designed to expand to other warehouses based on demand.