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Periodic, manual data testing that finds issues after the fact.
Teams accountable for trust in analytics and downstream reporting.
Continuous validation, source-to-target reconciliation, and trend dashboards.
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Why this module matters
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Hover any stage below to pause and inspect it — the flow keeps moving on its own otherwise.
Key capabilities
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A closer look at the screens your team will use day to day.
Validation results — hierarchy drill-down by check type
Quick summary — pass rate, key takeaways and scope totals
Execution — select and run object, data and DQ validations together
Data validation rules — table, column, row and custom-query checks
Pipeline registry — organized by portfolio and project
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Each module stands alone, and they share one metadata layer when you run them together.
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