Data Stewardship
The operating model that makes ownership a role rather than a slide.
4 to work through
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beginner Multiple choice
A 40-person company has three different numbers for "completed order" living in three spreadsheets. Twelve people touch data at all. A consultant has proposed a governance programme. Which arrangement fixes the problem with the least machinery?
3 min answer -
intermediate
A newsroom's data stewardship programme has stewards named for every dataset and almost no stewardship happening. What would you change?
1 min answer -
intermediate
After a year of stewards in name only, a company funds the role properly: 18 stewards at 20% of their time, written into objectives, with authority to refuse an access request. Two quarters later definitions are current and the analytics team is complaining loudly. What did the organisation buy, what is it paying, and when does that bill arrive?
2 min answer -
intermediate
Review this stewardship design. Every one of 1,200 tables has a named steward drawn from the business. Stewards approve access requests, maintain descriptions in the catalogue and attend a monthly forum. After a year, 30% of descriptions are filled in, access approvals take nine days and the forum has six regular attendees. What would you change and what would you keep?
2 min answer
3 terms in this topic
Data Steward
The named individual accountable for the definition, quality and appropriate use of a specific data domain.
practiceSteward Accountability
Making stewardship a defined role with time, authority and consequences, rather than a title added to somebody's existing job.
practiceStewardship Escalation Path
The named route and time limit by which a disagreement a steward cannot settle reaches someone entitled to decide it, without which stewardship produ…
Neighbouring topics
Data Governance & Semantics
General material on ownership, meaning, quality and control of data at enterprise scale.
Data Mesh
Domain ownership, data as a product, self-serve platform, and federated governance.
Data Products
A dataset with an owner, an interface, an SLO, and consumers who can rely on it.
Data Contracts
Producers committing to schema, semantics and freshness, and breaking builds when they do not.
Data Catalog
Discovery, ownership and technical metadata, and why catalogues go stale.
Business Glossary
Agreeing what a term means before arguing about which number is right.
Semantic Layer
Metric definitions held once and served to every tool that asks.
Master Data Management
One authoritative record for a customer or product across systems that each have their own.
Reference Data
Code lists, hierarchies and currencies — small, shared, and quietly load-bearing.
Data Quality Dimensions
Completeness, accuracy, timeliness, consistency, validity and uniqueness as testable claims.
Data Observability
Freshness, volume, schema and distribution monitoring for pipelines that fail silently.
Data Access Models
Role, attribute and purpose-based access over analytical data, and how they compose.
Row & Column-Level Security
Restricting slices of a table rather than the whole table, and where it is enforced.
Tokenisation & Masking
Dynamic masking, deterministic tokens, and preserving joinability without exposure.
Retention & Purge
Deleting from an append-only estate, and proving the deletion happened.
Data Sharing & Clean Rooms
Collaborating on data neither party may hand over, with computation as the interface.
Sensitivity Labelling
Propagating a classification through joins and derived tables so controls follow the data.
BI Governance
Dashboard sprawl, certified reports, and the number the board is allowed to see.
Self-Service vs Governed
Letting analysts move fast without four teams reporting four different revenues.