Understand how organizations define ownership, accountability, and policies for managing data. This subtheme explores the roles, structures, and processes that ensure data quality, compliance, and responsible data usage across an organization.
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Card 1
To organize how roles, processes, and forums make data decisions.
Explanation
A governance operating model makes governance actionable by defining who decides, who executes, how issues escalate, and where cross-functional decisions are made.
Common mistake
Confusing governance principles with the operating model that makes them work in practice.
Card 2
Owning the outcomes of how data is used and controlled.
Explanation
Accountability means owning outcomes and decisions, not executing every operational task personally.
Common mistake
Assuming accountability means doing all the hands-on data work yourself.
Card 3
That data rules and decisions are documented and visible.
Explanation
Transparency focuses on clarity of how and why data decisions are made, not on open access to data itself.
Common mistake
Equating transparency with making all data open to everyone.
Card 4
Ensuring consistent definitions and rules across teams and systems.
Explanation
Standardization aligns meaning and rules so data can be reliably shared and compared across the organization.
Common mistake
Thinking standardization only concerns technology choices rather than shared definitions and rules.
Card 5
Policies and decision rights for handling data.
Explanation
Governance sets the rules and authorities, while management performs the operational work under those rules.
Common mistake
Using the terms data governance and data management as if they were interchangeable.
Card 6
How roles, processes, and forums coordinate data decisions.
Explanation
An operating model maps who decides what, through which processes, and in which organizational structures.
Common mistake
Reducing the operating model to an organizational chart without processes or decision flows.
Card 7
Making business decisions on access, usage, and quality.
Explanation
The data owner decides how data should support the business and what level of quality and control is needed.
Common mistake
Confusing the data owner with the person technically hosting the data.
Card 8
Applying data rules and standards in practice.
Explanation
Stewards translate governance policies into concrete practices for specific data sets or domains.
Common mistake
Viewing stewards as purely technical administrators instead of guardians of content and rules.
Card 9
Operating and securing the technical data environment.
Explanation
Custodians handle infrastructure, security controls, and technical operations for data assets.
Common mistake
Assuming custodians decide business usage rules rather than implementing technical controls.
Card 10
Authoritative business decisions about the data.
Explanation
Owners hold decision rights, while stewards focus on implementation and ongoing maintenance of rules.
Common mistake
Treating owners and stewards as interchangeable titles for the same function.
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