Transformation & Data · Virtual Department
Data Quality Office
A data trust desk that makes every number defensible before it ever reaches a slide.
Mandate
Own the data contracts. Track readiness. Close issues with named owners.
Cadence
Daily checks · Weekly issue board · Monthly readiness scorecard
Reports to
CFO · CIO · CDO
What this department delivers
Six outcomes that move every quarter. Calculated in Python, reviewed by a human, evidenced at source.
Source inventory
Owned · classified
Quality scorecard
Completeness · timeliness · accuracy
Field-level lineage
Claim → source
Issue register
Cause · owner · ETA
Master data fitness
Customer · supplier · product
Readiness for AI
Per use case
Inside the workflow
Five governed stages. Every output traceable from claim to source.
- 01
Inventory
Input
Systems · feeds
Method
Catalogue + classify
Output
Source register
- 02
Measure
Input
Records
Method
Quality rules engine
Output
Quality scorecard
- 03
Trace
Input
Outputs
Method
Lineage capture
Output
Field-level map
- 04
Fix
Input
Issues
Method
Owner workflow
Output
Closed defects
- 05
Certify
Input
Datasets
Method
Sign-off
Output
Trusted-for-use stamp
Data Quality Office — Weekly review pack
Trust by design
How Data Quality Office outputs are governed
- 1
Connect evidence
- 2
Validate & protect
- 3
Select method
- 4
Calculate
- 5
Explain
- 6
Review
- 7
Prove value
Signals it produces
Atlas-8 doesn't ship dashboards in search of a question — it ships decisions waiting for a sign-off.
- Source feed late
- Field-fill drop
- Master-data duplicates
- Lineage broken
- Quality rule failure
- Issue ETA missed
Without Atlas-8
- Numbers fight in meetings
- Hidden source assumptions
- Reports re-built
- AI on dirty data
With Atlas-8
- Trusted datasets
- One version of master data
- Lineage on every claim
- AI-ready foundation
Integrations & data sources
Add the Data Quality Office to your virtual organisation.