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Archive break records and auditable remediation: what changes now?


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TL;DR: Archive break records store failed data quality rows permanently in the customer’s own data source, giving teams a durable audit trail for remediation, reporting, and downstream automation, while Forrester warns inaccurate data can cost organisations between $5 million and $25 million annually, according to Collibra. The shift is less about prettier reporting and more about making evidence, not previews, the unit of governance.

NHIMG editorial — what this means for NHI practitioners

Questions worth separating out

Q: How should teams govern archived data quality failures without creating another uncontrolled data store?

A: Teams should apply the same governance discipline used for evidence repositories and sensitive operational data.

Q: Why does persistent failure evidence matter more than a live preview for remediation?

A: A live preview only proves that a problem existed at one moment.

Q: What signals show that archived break records are actually improving governance?

A: Look for shorter time-to-closure, fewer repeat rule failures, and a higher share of remediation work completed from archived evidence rather than manual exports.

Practitioner guidance

  • Define retention rules for broken records before enabling archiving Set explicit retention, residency, and access policies for archived failures so the evidence store does not become an unmanaged shadow dataset.
  • Use archived failures as the source of remediation work Route data stewards and engineers to the archived row set rather than re-running the job for a fresh preview.
  • Connect the archive to reporting and attestation workflows Feed the break records table into BI dashboards or control evidence packs so auditors can see the issue, the resolution, and the trend over time.

What's in the full announcement

Collibra's full post covers the operational detail this post intentionally leaves for the source:

  • How the break records table is created and managed inside the customer’s data source
  • What the break records API returns for per-job-run retrieval and downstream automation
  • How administrators enable the feature through DQ connection and job settings
  • How the archived records can support BI dashboards and compliance reporting

👉 Read Collibra's explanation of archive break records for Data Quality and Observability →

Archive break records and auditable remediation: what changes now?

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