Assign business ownership, maintenance and technical provision for a data flow. In a case, compare whether the data supports broad capacity planning or decisions about individuals. Determine who decides on correction or restrictions on use.
In the course case, monthly case totals are available but complete individual records are not. Assess whether the totals support broad capacity planning and why they cannot support decisions about individuals. When a new source changes the definition of a case, reassess comparability and responsibilities.
You design a process for quality checks, error handling and decisions on data use, then work through it using the case. Refer unresolved privacy and rights questions to the responsible specialists.
What you will work on
Describe a data flow and business accountability boundaries
Set quality requirements for a purpose and check them using example data
Reassess comparability and responsibilities when a data source changes
Who it is for
Data owners and accountable business roles
Business and AI managers
Data governance professionals
Topics
Data origin and use context
Business ownership and operational stewardship
Quality requirements and evidence
Use approval and specialist assessment
Source changes and escalation
Your result
Your completed check sheet shows which quality rules apply to the intended use and how identified errors are corrected. Use it for the next review of the data flow.
Prerequisites
Knowledge of a business process or dataset and basic AI use. Metadata or a synthetic description is sufficient; raw data need not be supplied.
Format and approach
Planned as six to eight hours of self-study. You design a data flow and quality rules, with self-checks and explanations.
AI governance needs clear decision rights for business owners, security, operations and other control functions. You jointly design approval and ongoing controls for an AI use case. Using a case, you practise reviewing results, handling deviations and repeating checks after changes.
Together, set up an AI team for an organisational process. Allocate tasks to roles, design handovers and establish human decision rights. Test and improve the workflow using agreed cases to inform a decision on further use.
An AI system sorts applications. An incorrect rejection can leave an eligible application unprocessed. Test whether a second professional review catches that error before dispatch, and prepare a control sheet for your own use case.