From a single conversation to a production-ready, tested, and committed data application — infrastructure dependencies aside.
Connect to data platforms and controls
QUORA connects to your lakehouse, data catalogues, quality rule stores, reconciliation outputs, and pipeline metadata. It reads the control framework already in place and builds a structured view of what should be checked, where, and why.
Scan data quality and reconciliation results
QUORA evaluates tables, data products, and pipeline outputs against configured checks: schema, completeness, duplicates, thresholds, mappings, aggregates, and cross-system control totals. Breaks are prioritised by severity, business impact, and downstream exposure.
Investigate root cause across lineage
When an issue appears, QUORA traces it through source systems, transformations, joins, reference data, and recent pipeline runs, using lineage and metadata to explain where the inconsistency started and which process likely introduced it.
Recommend remediation and route ownership
QUORA generates a clear remediation plan for each issue: the evidence, the suspected cause, the recommended fix, and the accountable owner. Data teams can review, approve, reject, or assign the action before anything is changed.
Track resolution and strengthen controls
Once remediation is approved, QUORA tracks progress through closure, records the outcome, and recommends updates to data quality rules or reconciliation controls so the same issue is detected earlier, or prevented entirely, next time.