Know data engineers / data platform teams doing this manually? This tool works from any data asset inventory CSV — no integrations, no signup, one-time purchase.
Data Governance & Trust Pack
Detect data quality, ownership, and freshness risks
Offline governance analysis from a metadata CSV — no upload, no platform rollout required.
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🔒 Nothing leaves your computer. Runs entirely in your browser.

Drop CSV here or click to browse
CSV or TSV · desktop/laptop only

Required: asset_id, asset_type, owner_team
Optional: asset_name, domain, criticality_tier, last_scan_date, open_issues, schema_change_count_30d, documentation_score, classification_complete, lineage_mapped, freshness_sla_hrs, last_refresh_date, row_count_millions
Nothing leaves your computer. Fully offline.

Map your columns

We found 0 columns. Confirm the mapping before running.
⛔ One or more required fields are not mapped. Assign all required fields before running.
Required Fields *
FieldUsed byCSV ColumnStatus
Optional Fields
FieldUsed byCSV ColumnStatus
Data Governance & Trust — analysis complete
1 — Score dataset quality › 2 — Check classification coverage › 3 — Detect stale datasets › 4 — Review lineage completeness › 5 — Detect ownership gaps
Data Quality Analysis
Composite quality score from open issues, schema drift, and documentation coverage. CRITICAL assets first.
Classification Coverage Analysis
Domain-level classification coverage. One row per domain. Least classified domains first.
Freshness & SLA Analysis
Breach and staleness scoring against defined SLAs. Most breached assets first. No-SLA mode activates automatically.
Lineage Completeness Analysis
Asset-level lineage and schema drift scoring. UNMAPPED assets first. Domain summary appended when domain field is mapped.
Ownership Health Analysis
Composite ownership health from scan age, open issues, and documentation. ORPHANED assets first.
Running engines...