Data Governance
Every data exception has an owner, a deadline and a recorded decision.
Autonera turns duplicates, conflicts and rule failures into prioritized stewardship work, routed by domain, ordered by service level and resolved with evidence.
How it works
Work a stewardship queue
Filter by domain, select an exception and resolve it, return it to the source or reassign it. Overdue work is ordered first. The Location domain has no owner yet.
Possible duplicate supplier: Calder & Rowe Ltd / Calder and Rowe Limited
EVIDENCE
Same tax id, same postal code, name similarity 0.91
The capability
Accountable resolution across master data domains
Matching, validation and integration all produce exceptions that need human judgment: a probable duplicate supplier, a weight that disagrees between ERP and supplier, an address that fails validation. Without stewardship, these sit in reports and email threads, and nobody can say who is responsible.
Data Stewardship gives each domain an owner and a queue. Exceptions from matching, validation, integration and agents are routed by domain and type, ordered by priority and service-level deadline, and presented with the evidence that raised them. Stewards resolve an item, return it to the source owner with reasons, or reassign it.
Stewardship is a master data discipline that also underpins wider data governance. In Autonera it sits alongside Master Data Management and is cross-listed under Data Governance; it is one capability, not two.
Functional capabilities
What Data Stewardship includes
- Domain ownership
- Assign owners for product, supplier, customer, location and reference data.
- Work queues
- Collect exceptions from matching, validation, integration and agents in one place.
- Priority and service levels
- Order work by priority and time remaining; highlight overdue items.
- Evidence
- Show the signals behind each exception, such as match scores or conflicting values.
- Resolve, return or reassign
- Record decisions and send source problems back to their owners.
- Workload views
- See open work and overdue items by domain and steward.
Problems it solves
Where this work usually breaks down
Exceptions with no owner
Duplicates and conflicts are reported, but nobody is accountable for resolving them.
Urgency invisible
A missing hazardous classification waits behind cosmetic issues.
Decisions without evidence
Merges and corrections are made without recording why.
Problems fixed in the wrong place
Stewards correct data that the source will overwrite tomorrow.
In industrial operations
A manufacturer formalizes stewardship after an MDM rollout
Match and validation exceptions are piling up in a shared mailbox across supplier and product teams.
- Owners are named for each domain, with service levels by priority.
- Exceptions are routed automatically to the right queue with their evidence.
- Supplier duplicates are resolved by the supplier master owner; ERP conflicts are returned to the ERP team.
- Workload views show where queues are growing and service levels are missed.
Result: Exceptions have owners and deadlines, and every decision can be traced.
Autonomous operations
How autonomous execution changes data stewardship
Agents triage, enrich and route exceptions and resolve routine ones within policy, leaving stewards with decisions that require judgment.
Agents carry out
- Route exceptions by domain and type
- Attach supporting evidence
- Resolve routine cases within approved policy
- Escalate items near their deadline
People decide
- Own domains and queues
- Decide merges, conflicts and returns
- Set priorities and service levels
Evidence recorded
- Decision, decider and time
- Evidence shown at decision time
- Service-level 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
Conditional approval routing, roles, separation of duties 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
Is Data Stewardship part of MDM or Data Governance?
Both. It is one capability listed under Master Data Management and cross-listed under Data Governance.
Where do stewardship tasks come from?
From matching, validation, integration conflicts, quality rules and agents that need a human decision.
Can service levels differ by domain?
Yes. Service levels can be set by domain, exception type and priority.
What does returning a task do?
It sends the issue to the owner of the source system with the evidence, so the problem is fixed where it originates.
Can agents resolve tasks?
Within policies you approve, for example normalizing a known unit code. Other decisions stay with stewards.
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