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DAT7023 Defensible Master Data Models Using ISO 8000 Principles

$199.00
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A tailored course, built for your situation

Defensible Master Data Models Using ISO 8000 Principles

Build data governance artefacts that stand up to audit, integration, and executive scrutiny

$199 one-time
30-day money-back guarantee Verified against latest insights, updated access provided within 24h

Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.

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.
MDM models that collapse under integration or audit pressure

The situation this course is for

You’ve completed the certification. Now you’re expected to produce models that survive real-world scrutiny, during mergers, audits, or system integrations. But too often, those models get torn apart by peer teams or compliance reviewers because the reasoning behind entity definitions, hierarchies, or stewardship rules isn’t documented with concrete justification. The result? Weeks of rework, delayed go-lives, and eroded credibility.

Who this is for

A data governance professional who has completed foundational MDM training and now needs to produce implementation-grade models that withstand cross-functional challenges

Who this is not for

Junior analysts still learning core MDM concepts, or executives seeking high-level strategy without implementation detail

What you walk away with

  • Produce master data models with documented, source-backed rationale for every design decision
  • Reduce integration rework by anchoring models in ISO 8000-compliant artefacts
  • Confidently defend entity hierarchies, attribute selections, and stewardship assignments in cross-team reviews
  • Accelerate audit readiness by pre-empting common challenges with structured evidence packages
  • Turn MDM from a compliance exercise into a repeatable, defensible engineering practice

The 12 modules (with all 144 chapters)

Module 1. From MDM Certification to Real-World Implementation
Bridge the gap between theoretical frameworks and operational data models that withstand scrutiny.
12 chapters in this module
  1. Mapping ISO 8000 principles to common MDM certification concepts
  2. Identifying the gaps between course knowledge and production models
  3. Common failure points in post-certification model deployments
  4. Building confidence in design decisions through structured documentation
  5. How auditors interpret MDM model artefacts differently than engineers
  6. Establishing baseline expectations for defensible data governance
  7. The role of traceability in model acceptance across teams
  8. Using certification as a foundation, not a finish line
  9. Aligning peer expectations with governance standards
  10. Documenting assumptions to prevent downstream rework
  11. Creating a personal checklist for model readiness
  12. Transitioning from learner to implementer with authority
Module 2. Defining Core Entities with Audit-Grade Justification
Anchor entity definitions in verifiable sources and industry benchmarks.
12 chapters in this module
  1. Sourcing entity definitions from regulatory texts and industry standards
  2. Using SEC filings and public disclosures as reference models
  3. Benchmarking entity attributes against top-quartile implementations
  4. Documenting why 'customer' means what it means in your context
  5. Avoiding vague labels with precise, defensible taxonomies
  6. Cross-referencing internal policies with external compliance requirements
  7. Handling conflicting definitions across legacy systems
  8. Creating a decision log for entity modelling choices
  9. Justifying hierarchy depth with business process evidence
  10. Proving stewardship ownership with org chart alignment
  11. Using data lineage to reinforce entity boundaries
  12. Preparing entity documentation for third-party review
Module 3. Designing Hierarchies That Survive Integration Challenges
Build organisational, product, and customer hierarchies that resist breakdown during M&A or system consolidation.
12 chapters in this module
  1. Mapping organisational hierarchies to actual reporting structures
  2. Using board-approved org charts as source material
  3. Handling dual reporting lines with documented justification
  4. Aligning product hierarchies with GTM strategy documents
  5. Validating customer segmentation models with sales ops input
  6. Documenting exception cases in hierarchy design
  7. Preserving historical hierarchy states for audit continuity
  8. Handling jurisdictional differences in global hierarchies
  9. Integrating acquisition targets without hierarchy collapse
  10. Creating fallback positions for contested hierarchy nodes
  11. Using workflow logs to prove hierarchy usage
  12. Packaging hierarchy decisions for SAP or Salesforce migration
Module 4. Attribute Selection with Source-Backed Reasoning
Eliminate arbitrary field choices by grounding attribute inclusion in policy, regulation, or operational need.
12 chapters in this module
  1. Tracing each attribute to a regulatory requirement or business rule
  2. Using KYC/AML checklists to justify customer data collection
  3. Mapping product attributes to inventory management systems
  4. Proving necessity of sensitive fields with compliance evidence
  5. Handling deprecated attributes with versioned documentation
  6. Aligning attribute definitions with contract wording
  7. Resolving conflicts between source systems with policy precedence
  8. Documenting 'why we collect this' for each key field
  9. Creating an attribute decision register for audit review
  10. Using data subject requests to test attribute defensibility
  11. Cross-referencing attributes with internal risk assessments
  12. Preparing attribute packages for privacy auditor scrutiny
Module 5. Stewardship Models That Hold Up Under Cross-Team Pressure
Define data ownership with organisational authority, not just process charts.
12 chapters in this module
  1. Linking stewardship roles to job descriptions and org mandates
  2. Using signed delegation logs to prove authority chains
  3. Handling shared stewardship with escalation protocols
  4. Documenting interim stewardship during leadership transitions
  5. Aligning stewardship with budget ownership where possible
  6. Using approval workflows to validate stewardship decisions
  7. Proving stewardship with email trails and meeting minutes
  8. Handling global vs. regional stewardship conflicts
  9. Creating a stewardship challenge playbook for peer reviews
  10. Integrating stewardship logs with IAM access reviews
  11. Preparing stewardship evidence for SOX or ISO audits
  12. Updating stewardship models after reorganisations
Module 6. Version Control for Master Data Artefacts
Implement change tracking that supports rollback, audit, and integration consistency.
12 chapters in this module
  1. Using semantic versioning for master data model releases
  2. Documenting change rationale with issue tracker integration
  3. Creating immutable snapshots for audit reference
  4. Aligning version cycles with financial reporting periods
  5. Handling parallel versions during system migrations
  6. Using Git-style branching for model experimentation
  7. Proving version integrity with checksum documentation
  8. Linking version changes to change advisory board approvals
  9. Managing dependencies across model components
  10. Communicating version updates to consuming teams
  11. Archiving deprecated versions with retention policies
  12. Preparing version histories for regulatory inspection
Module 7. Documentation That Preempts Rechallenge
Build self-defending artefacts that reduce the need for verbal justification.
12 chapters in this module
  1. Embedding decision rationale directly in model documentation
  2. Using footnotes to reference policy or regulation sections
  3. Creating annotated versions for peer review
  4. Including alternative options considered and rejected
  5. Using comparison tables to show evolution from prior models
  6. Adding risk statements for known limitations
  7. Linking documentation to training materials for consistency
  8. Standardising terminology across all artefacts
  9. Using revision stamps to show approval status
  10. Preparing documentation bundles for external reviewers
  11. Automating consistency checks across documents
  12. Archiving documentation with access logs
Module 8. Integration Readiness for ERP and CRM Systems
Prepare models to survive SAP, Salesforce, and Workday implementation pressures.
12 chapters in this module
  1. Mapping master data models to SAP organizational units
  2. Aligning customer hierarchies with Salesforce account structures
  3. Handling multi-instance ERP landscapes with model segmentation
  4. Using integration specs to validate field mappings
  5. Proving data equivalence across source and target systems
  6. Documenting transformation logic for audit trails
  7. Handling currency and legal entity alignment in global models
  8. Preparing model packages for data migration sprints
  9. Using test scripts to validate integration success
  10. Creating fallback data sets for migration rollback
  11. Aligning with programme office timelines and deliverables
  12. Packaging integration evidence for PMO review
Module 9. Audit Preparation for ISO, SOX, and Privacy Reviews
Anticipate auditor questions and build evidence packages in advance.
12 chapters in this module
  1. Predicting auditor questions based on past findings
  2. Creating a master data audit response playbook
  3. Using sample requests to test evidence readiness
  4. Aligning model documentation with ISO 8000 clauses
  5. Preparing SOX-relevant control narratives for data changes
  6. Documenting privacy compliance for personal data attributes
  7. Using DPIA outcomes to justify data collection
  8. Creating auditor-friendly summaries of complex models
  9. Handling requests for source-to-target traceability
  10. Preparing evidence packs for remote audit delivery
  11. Simulating audit walkthroughs with peer teams
  12. Updating audit packages after model changes
Module 10. Peer Review Resilience in Cross-Functional Challenges
Equip yourself to defend models during integration reviews, due diligence, and leadership scrutiny.
12 chapters in this module
  1. Anticipating pushback from engineering, finance, and legal teams
  2. Using pre-mortems to identify weak points in models
  3. Rehearsing defence narratives for key design decisions
  4. Handling 'why not just use a lookup table?' challenges
  5. Responding to technical debt arguments with governance trade-offs
  6. Using benchmark data to counter anecdotal objections
  7. Maintaining composure during high-stakes review sessions
  8. Escalating unresolved challenges with documented rationale
  9. Tracking recurring objections to improve future models
  10. Building credibility through consistent, evidence-based responses
  11. Using peer feedback to strengthen, not weaken, your position
  12. Converting challengers into advocates through transparency
Module 11. Automating Validation and Evidence Collection
Reduce manual verification with repeatable, scriptable checks.
12 chapters in this module
  1. Creating automated checks for hierarchy integrity
  2. Using SQL scripts to validate attribute completeness
  3. Building dashboards for stewardship activity monitoring
  4. Automating version comparison reports
  5. Integrating validation checks into CI/CD pipelines
  6. Using Python to generate audit-ready evidence packs
  7. Scheduling regular model health checks
  8. Alerting on unauthorised changes to master data
  9. Linking validation results to Jira or ServiceNow tickets
  10. Documenting automation logic for auditor review
  11. Testing failover processes for validation systems
  12. Scaling validation across multiple business units
Module 12. Building a Defensible Data Governance Practice
Turn individual wins into a sustainable, respected function.
12 chapters in this module
  1. Creating a library of reusable, defensible model templates
  2. Establishing a review board for high-impact models
  3. Onboarding new team members with standardised training
  4. Measuring success through reduced rework and faster approvals
  5. Sharing success stories with senior leadership
  6. Using feedback loops to refine the defensibility framework
  7. Scaling defensibility practices across domains
  8. Integrating defensible modelling into onboarding workflows
  9. Positioning the team as enablers, not gatekeepers
  10. Building relationships with legal, compliance, and IT
  11. Continuously updating standards based on real challenges
  12. Leaving a legacy of models others can build upon

How this maps to your situation

  • Post-MDM certification implementation
  • Integration with ERP/CRM systems
  • Audit and regulatory scrutiny cycles
  • Cross-functional governance challenges

Before vs. after

Before
Spending cycles defending data models with ad-hoc explanations, facing rework during integrations and audits.
After
Walking into reviews with documented, source-backed rationale , models approved faster, with less pushback.

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 90 minutes per module, designed for completion over 6, 8 weeks with real-world application between modules.

If nothing changes
Without defensible artefacts, even technically sound models get delayed or rejected due to perceived risk, eroding influence and increasing rework.

How this compares to the alternatives

Generic data governance courses focus on frameworks; this course focuses on implementation artefacts that survive real scrutiny. Unlike vendor-specific training, it builds transferable, standard-based defensibility skills.

Frequently asked

How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course technical or strategic?
Implementation-grade: designed for practitioners who need to produce defensible artefacts, not just understand theory.
Will this help with audits?
Yes , every module includes techniques for pre-empting common audit challenges with structured evidence.
$199 one-time. Approximately 90 minutes per module, designed for completion over 6, 8 weeks with real-world application between modules..

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
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