New Data Quality Metrics


We reworked Data quality to give you more control over your workflow results: validation rules per schema field, alongside platform metrics that Kadoa computes for you automatically.

Data quality sidebar

Open the Data quality section on any workflow to see the state for the current run and edit rules. Kadoa generates sensible defaults from your data, and you can customize them at any time.

Currently, the available checks include:

  • Presence and uniqueness thresholds per field
  • String formats: character sets, length caps, pattern presets (URL, email, etc.), or option lists
  • Number checks: decimal places, and min/max ranges
  • Completeness: Actual vs. expected row count, including the source signals we used
  • Suspicious values: Flagged values that don't fit the rest of the row, with example cells

Read the full documentation →