A tailored course, built for your situation
Mastering Data Governance Standard Requirements
A 12-module implementation-grade course for business and technology leaders advancing governance maturity
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Frustrated by fragmented policies, unclear ownership, or stalled compliance efforts?
The situation this course is for
Data governance often stalls at the framework stage, with teams struggling to translate standards into operational reality. Initiatives lack clarity, accountability, or alignment across data owners, stewards, and technology teams, leading to inconsistent enforcement and missed compliance windows.
Who this is for
Business and technology professionals leading or contributing to data governance, compliance, or data management initiatives, especially those transitioning from concept to execution.
Who this is not for
This course is not for individuals seeking introductory overviews or academic treatments of governance. It assumes foundational knowledge and focuses on implementation-grade detail.
What you walk away with
- Translate data governance standards into executable operating models
- Design role-based accountability structures aligned with business objectives
- Implement policy frameworks that satisfy compliance and operational needs
- Integrate data quality, lineage, and access controls into governance workflows
- Deploy a ready-to-use governance playbook tailored to enterprise complexity
The 12 modules (with all 144 chapters)
Module 1. Foundations of Modern Data Governance
Establish core definitions, scope, and alignment with business objectives.
12 chapters in this module
- Defining governance in today's data landscape
- Distinguishing governance from management and stewardship
- Core principles: accountability, transparency, consistency
- Linking governance to business value
- Common standards landscape: an overview
- Regulatory drivers shaping governance design
- Organizational readiness assessment
- Identifying key stakeholders and sponsors
- Building the business case for governance
- Governance maturity models
- Benchmarking against industry peers
- Setting realistic implementation goals
Module 2. Governance Frameworks and Standards
Compare and apply leading governance frameworks to real-world contexts.
12 chapters in this module
- Overview of DMBOK and its governance layer
- COBIT for data governance integration
- ISO 38505 and data governance implications
- NIST Data Integrity Framework
- Adapting frameworks to organizational scale
- Hybrid framework design strategies
- Mapping controls to business outcomes
- Framework alignment with audit requirements
- Customizing frameworks for sector needs
- Maintaining framework relevance over time
- Documentation standards for governance
- Version control for governance assets
Module 3. Policy Architecture and Design
Build scalable, enforceable policy hierarchies aligned with enterprise needs.
12 chapters in this module
- Policy vs standard vs guideline: defining layers
- Designing tiered policy structures
- Principles for clear, actionable language
- Scope definition and applicability rules
- Ownership and stewardship by policy domain
- Policy exception management
- Versioning and lifecycle controls
- Integration with legal and compliance teams
- Policy review and update cadence
- Localization for regional requirements
- Policy enforcement mechanisms
- Audit readiness through policy design
Module 4. Role Modeling and Accountability
Define and operationalize governance roles across business and technology.
12 chapters in this module
- Core roles: sponsor, steward, custodian, owner
- RACI matrix design for governance
- Role definitions and expectations
- Stewardship across data domains
- Accountability for data quality
- Conflict resolution protocols
- Onboarding and training for role holders
- Performance metrics for governance roles
- Escalation paths and decision rights
- Cross-functional role alignment
- Managing role overlap and gaps
- Role documentation and maintenance
Module 5. Data Quality Governance
Embed quality standards into governance with measurable outcomes.
12 chapters in this module
- Defining data quality dimensions
- Linking quality to business impact
- Establishing quality metrics and KPIs
- Quality rule definition and ownership
- Data profiling as a governance activity
- Automated validation workflows
- Issue tracking and resolution processes
- Quality dashboards for leadership
- Root cause analysis integration
- Quality reporting cadence
- Continuous improvement mechanisms
- Integration with master data management
Module 6. Compliance Integration
Align governance with regulatory and audit requirements.
12 chapters in this module
- Mapping regulations to governance controls
- GDPR and data subject rights governance
- CCPA/CPRA governance adaptations
- HIPAA for healthcare data handling
- SOX controls for financial data
- Audit trail requirements
- Evidence collection and retention
- Regulatory change monitoring
- Cross-border data flow governance
- Compliance reporting automation
- Third-party compliance alignment
- Internal audit coordination
Module 7. Data Classification and Sensitivity
Implement classification frameworks that support security and access.
12 chapters in this module
- Defining classification levels
- Sensitivity labeling standards
- Automated classification techniques
- Human-in-the-loop review processes
- Classification governance workflows
- Handling unclassified or misclassified data
- Integration with data catalogs
- Role-based access alignment
- Retention and archival rules
- Encryption requirements by class
- Data leakage prevention strategies
- Periodic classification reviews
Module 8. Metadata and Lineage Governance
Ensure transparency and traceability across the data lifecycle.
12 chapters in this module
- Metadata standards and definitions
- Technical vs business metadata
- Automated metadata capture
- Lineage tracking methods
- End-to-end lineage visualization
- Lineage for compliance and debugging
- Metadata ownership models
- Catalog governance and curation
- Data dictionary maintenance
- Business glossary integration
- Searchability and discoverability
- Metadata quality assurance
Module 9. Technology Enablement
Select and configure tools that operationalize governance.
12 chapters in this module
- Governance tool landscape overview
- Data catalog selection criteria
- Master data management integration
- Workflow and approval systems
- Policy automation platforms
- Integration with data pipelines
- API governance considerations
- Tool interoperability strategies
- Vendor evaluation frameworks
- In-house vs SaaS solutions
- Change management for tool rollout
- User adoption and training
Module 10. Operational Execution
Run governance as a sustainable, measurable function.
12 chapters in this module
- Governance operating model design
- Meeting cadence and agenda templates
- Decision logging and tracking
- Issue escalation workflows
- Change request management
- Cross-team collaboration models
- Communication strategies
- Metrics for governance effectiveness
- Continuous improvement cycles
- Budgeting and resource planning
- Success story documentation
- Lessons learned integration
Module 11. Stakeholder Engagement
Build alignment and support across business and technical teams.
12 chapters in this module
- Identifying governance champions
- Tailoring messaging by audience
- Executive communication strategies
- Business unit onboarding
- Feedback loop design
- Governance awareness campaigns
- Training and enablement plans
- Resistance identification and mitigation
- Incentive structures for compliance
- Celebrating governance wins
- Building a governance community
- Long-term engagement models
Module 12. Implementation and Scaling
Launch and evolve governance across the enterprise.
12 chapters in this module
- Pilot program design
- Scope definition and boundaries
- Stakeholder onboarding plan
- Tool configuration checklist
- Policy rollout sequence
- Role assignment process
- Training delivery calendar
- Monitoring and feedback
- Post-launch review
- Scaling criteria and triggers
- Lessons from early implementation
- Roadmap for enterprise expansion
How this maps to your situation
- Organizations launching formal governance programs
- Teams enhancing existing governance frameworks
- Professionals preparing for compliance audits
- Leaders driving data maturity initiatives
Before vs. after
Before
Governance efforts are fragmented, policies lack enforcement, and compliance readiness is uncertain.
After
A unified, operating governance model is in place, with clear roles, enforceable policies, and measurable outcomes.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 60, 75 hours of structured learning, designed for self-paced progress over 8, 12 weeks.
If nothing changes
Without a structured approach, governance initiatives remain reactive, under-resourced, and vulnerable to audit findings or data incidents, limiting data's strategic value.
How this compares to the alternatives
Unlike generic overviews or academic courses, this program delivers implementation-grade detail with templates and a custom playbook, bridging the gap between theory and practice for professionals ready to execute.
Frequently asked
Who is this course for?
Business and technology professionals leading or contributing to data governance, compliance, or data management initiatives, especially those moving from concept to execution.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a refund policy?
Yes, we offer a 30-day money-back guarantee if the course does not meet your expectations.
$199 one-time. Approximately 60, 75 hours of structured learning, designed for self-paced progress over 8, 12 weeks..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours