HISTORICAL DATA QUALITY ANALYZER

Why did my historical report change?

Analyze historical target tables directly in your browser and understand why reports change after rebuilds, corrections and temporal joins.

Guided investigation

Revenue increased overnight. No new orders arrived.

Walk through one historical data incident. Click anywhere, press Space, Enter or โ†’ to advance.

Or choose another sample investigation
Or use your own data

Investigate your own historical data

Paste or upload a CSV output from a notebook, dbt model or pipeline. Analysis runs in your browser; nothing is stored.

Historical Modeling Assessment

Assess your historical modeling requirements

Answer a few questions and get a recommended historical modeling strategy.

Start Assessment

Answer 6 questions about your historical model.

Get a recommended modeling strategy, relevant historical patterns, implementation risks and validation checks for your reporting model.

โœ“ Takes less than 1 minute
โœ“ Recommends modeling patterns
โœ“ Highlights validation risks
โœ“ Generates an implementation blueprint
Advanced investigation

Compare Historical Sources

Use this expert workflow after the model exists and you need row-level temporal evidence for joins, gaps, overlaps or visibility issues.

Advanced Historical Source Comparison
Compare two historized sources when you need row-level timeline evidence, temporal joins or overlap diagnostics.
Compare two historized datasets when you need row-level evidence for temporal joins, source-vs-target validation, SCD2 coverage or late-arriving history.
Upload โ†’ Analyze โ†’ Inspect findings
๐Ÿ”’ Uploaded datasets are processed locally in your browser and are not stored on our servers.
A
Source A
โ‡ง
Upload or paste
CSV, TSV or TXT
Auto-mapped columns: entity_id, value, valid_from, valid_to, visible_from, visible_to.
B
Source B
โ‡ง
Upload or paste
CSV, TSV or TXT
Auto-mapped columns: entity_id, value, valid_from, valid_to, visible_from, visible_to.


Built for historical data modeling, temporal joins, snapshot reporting and historized data validation.
Pattern CatalogLinkedIn
Created by Jakob Frohnhaus ยท Imprint ยท Privacy
Feedback, ideas or collaboration welcome.