Data Quality Profiling

Automated DAMA quality scoring, monitoring and insight for your Qlik data.

Data from Source

Pick where your data lives, point us at it, and score it against the DAMA data-quality dimensions. The run report, scores and failed records are saved and appear in History.

Dataset

No file selected.
Randomly samples this many rows. Empty — or larger than the file — assesses everything.
Dimension weights (optional)

Higher weight = the dimension counts more toward the overall score; 0 excludes it. Range 0–5; defaults shown.

Accuracy & integrity rules (optional)

Added on top of the auto-detected rules, so nothing else is lost. Leave empty to skip.

Accuracy lookups

A column and its full set of allowed values — anything outside the list counts as inaccurate.

Referential integrity

A column whose values must exist in a reference file — upload the reference and it's stored with this run.

Assessment

View in History →

Run details

History

Every assessment you've run, full-app health checks and individual dataset runs. Open any run to see its full report.

Full app assessments

Assessments where every table in the app was selected, grouped by run. Click a run to see each table's result.

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