Data Governance
Give data exceptions an accountable reviewer
Bring exceptions and their evidence to the people responsible for deciding what happens next.
How it works
Inspect review work
Select an exception to inspect its context and responsible reviewer.
REVIEW WORKLIST
Supplier match candidate
- Reviewer
- Supplier data steward
- Evidence
- Source records for comparison
Inspect source evidence before deciding the disposition.
The capability
Human judgment with context
Matching and validation can surface exceptions requiring judgment.
Configured workflows and review worklists support human decisions, with evidence and an audit trail. This does not promise queue-level service timers or automatic deadline escalation.
Problems it solves
Where this work usually breaks down
Unowned exceptions
Teams need clear review responsibilities.
Missing context
Reviewers need evidence for their decisions.
Functional capabilities
What Data Stewardship includes
- Review worklists
- Surface items requiring human decisions.
- Configured routing
- Route work through defined workflows.
- Evidence
- Inspect the record and supporting context.
- Audited decisions
- Retain review dispositions.
In industrial operations
A team formalizes data review
Exceptions are scattered across email.
- Define review responsibilities.
- Configure the workflow.
- Inspect the evidence.
- Record the decision.
Result: Exceptions have an accountable review path.
Autonomous operations
How autonomous execution changes data stewardship
Governed operations surface review needs while people make the required decisions.
Agents carry out
- Present exceptions
- Retain evidence
People decide
- Review records
- Decide dispositions
Evidence recorded
- Record context
- Audit history
Related capabilities
Works alongside
Match & Merge
Find duplicate records across sources, decide what survives and keep a reversible golden record.
Feature guideData Quality Management
Quality dimensions, rules, trends and owned remediation across domains.
Feature guideWorkflow & Approvals
Configured approval routing, role permissions and decision history.
Feature guideGolden Records
A trusted master record with source cross-references, provenance and field ownership.
Capability areaData Governance
See where Data Stewardship fits in the wider Data Governance capability.
Buyer FAQs
Questions evaluators ask
Who reviews exceptions?
The responsible people identified by configured workflows and ownership.
Can matching candidates be reviewed?
Yes. A merge review worklist supports steward decisions.
Are decisions audited?
Yes. Review dispositions are recorded.
Does this promise SLA countdown timers?
No. This guide describes accountable review, not queue service-level timers.
Are approval workflows supported?
Yes. Configured workflows route work requiring human approval.
Your next step
See Data Stewardship on data like yours.
Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.
Book a Demo