Policy hierarchy
Define the relationship between policy, standards, procedures, guidance, templates and control evidence.
- Documents have clear purpose and owner
- Policy statements avoid duplication and conflict
- Users know which document to follow
Rules people can apply
Policies, Standards and Controls
Create and improve the policy architecture that turns data management intent into repeatable practice and auditable evidence.
Evidence-led deliveryEvidence into action.
Challenge
When to use this service.
Policies exist in fragments, are difficult to use, or are not connected to controls, ownership and training.
Decision-maker insight
Policies, Standards and Controls in plain terms.
Policies only create value when people can apply them. Strong policy architecture connects principles to standards, standards to procedures, procedures to controls, and controls to ownership, assurance and training.
Management framework
Policy, standards and controls framework
Decision makers should be able to see how written expectations become everyday behaviour and auditable evidence.
Standards and procedures
Turn principles into practical rules for definitions, quality, access, retention, sharing, metadata and change.
- Standards are specific enough to implement
- Procedures describe roles and workflow
- Exceptions have approval and review routes
Control mapping
Map requirements to preventative, detective and corrective controls that can be tested.
- Controls have owners and frequency
- Evidence can be retrieved for assurance
- Control failures trigger action
Adoption and review
Embed policy through communication, training, version control, periodic review and feedback from users.
- Training is aligned to roles
- Review dates and change history are maintained
- User feedback improves usability
Lifecycle
Policy lifecycle
Policy work should move from inventory to design, drafting, approval, implementation and assurance review.
Inventory
Catalogue existing policies, standards, procedures, controls and known gaps.
Evidence: Policy inventory, document owners, review dates and gap log.Design architecture
Define the hierarchy, document types, ownership model and control relationship.
Evidence: Policy architecture map, document taxonomy and ownership matrix.Draft and align
Create or improve content with input from business, technology, risk, privacy and operations.
Evidence: Drafts, consultation notes, requirement mapping and conflict log.Approve and publish
Use the right governance route to approve, version, publish and communicate the documents.
Evidence: Approval record, version history, publication plan and communication pack.Embed and assure
Train users, test controls, capture exceptions and review whether documents remain useful.
Evidence: Training records, control test results, exception log and review pack.Engagement scope
What we can cover.
Policy inventory and gap review
Policy architecture design
Control mapping
Ownership and review cycle design
Data standards catalogue
Communication and training support
Deliverables
Outputs your teams can use.
Policy inventory
Policy architecture map
Draft standards and procedures
Control mapping workbook
Review and approval cadence
Data standards catalogue
Expected outcomes
What improves.
Clearer expectations for everyday data handling
Better traceability between policies, standards and controls
Documents that teams can own, review and sustain
Decision guide
Test readiness before you invest.
Distinguish embedded capability from disconnected activity.
Leadership questions
- Which policy gaps create real operational, privacy, quality or governance risk?
- Do people know the difference between policy, standard, procedure and guidance?
- Can controls be tested, or are they only written expectations?
- Who approves exceptions and how are they reviewed?
- How will adoption be measured after publication?
Signals of maturity
- Policy documents have owners, scope and review cycles.
- Standards are clear enough for teams and systems to implement.
- Controls are mapped, owned, evidenced and tested.
- Exceptions are visible and time-bound.
- Training and communication support adoption.
Evidence to prepare
- Current policies, standards, procedures and guidance
- Control library, audit findings and compliance obligations
- Document ownership, review dates and version history
- Examples of policy exceptions, disputes or inconsistent interpretation
- Training materials and communication records
Process
From evidence to implementation.
01
Catalogue current policy documents, standards, controls and known gaps
02
Define a usable policy hierarchy and ownership model
03
Draft or improve standards, procedures and control requirements
04
Support approval, publication, communication and training
05
Create review cycles and assurance evidence
Related training
Data Governance Practitioner
Build the role capability needed to sustain the change.
View training routeResource
Governance Council Terms of Reference
Prepare the evidence for a productive first conversation.
Browse insightsScope note
Evidence first, claims second.
No claims of certification, approval or compliance without evidence.
Ready to move?
Turn data risk into a clear next step.
Start with a focused discovery call or readiness assessment.