A tailored course, built for your situation
Advanced SAP Master Data Governance: Implementation Mastery
Deep-dive implementation framework for business and technology leaders advancing governance at scale
$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.
Even experienced teams struggle to translate MDG strategy into consistent, scalable execution across systems and stakeholders.
The situation this course is for
SAP Master Data Governance initiatives often stall due to misaligned ownership, unclear workflows, or integration bottlenecks. Professionals with theoretical knowledge may lack the implementation-grade tools to lead successful rollouts. This gap slows digital programs, creates rework, and undermines stakeholder trust.
Who this is for
Business and technology professionals responsible for designing, deploying, or optimizing SAP Master Data Governance in enterprise environments. Typically with 3+ years in data management, governance, or SAP solutions.
Who this is not for
This course is not for beginners in SAP or data governance, nor for those seeking certification prep or high-level overviews. It assumes prior familiarity with SAP MDG Manager concepts.
What you walk away with
- Lead end-to-end SAP MDG implementations with confidence
- Design governance workflows that balance control and agility
- Integrate MDG with ERP, CRM, and analytics platforms effectively
- Align cross-functional teams using proven stewardship models
- Apply field-tested templates and decision frameworks to real projects
The 12 modules (with all 144 chapters)
Module 1. Foundations of Implementation-Grade MDG
Establish the core principles and success criteria for real-world MDG deployments.
12 chapters in this module
- Defining implementation maturity in MDG
- From policy to operational execution
- Key roles and responsibility models
- Stakeholder alignment frameworks
- Governance vs. management distinctions
- Measuring effectiveness beyond compliance
- Common pitfalls and how to avoid them
- Scaling from pilot to enterprise
- Integration touchpoints overview
- Data domain scoping strategies
- Change adoption lifecycle
- Building the business case for investment
Module 2. Architecture and System Landscape Design
Design robust, scalable architectures supporting current and future MDG needs.
12 chapters in this module
- SAP MDG deployment options compared
- Centralized vs. decentralized models
- Landscape integration patterns
- Versioning and transport strategies
- Performance optimization techniques
- Handling multi-client environments
- Security architecture considerations
- Role-based access design
- Extensibility and custom development
- Cloud and hybrid deployment planning
- Disaster recovery and backup
- Monitoring and operations readiness
Module 3. Data Model Configuration and Extension
Configure and extend the data model to support complex business requirements.
12 chapters in this module
- Core entity types and their use cases
- Custom object creation process
- Attribute grouping and UI modeling
- Derivation and validation rules
- Data replication setup
- Mapping external identifiers
- Handling hierarchies and classifications
- Time-dependent data management
- Language and localization settings
- Data quality integration points
- Version management strategies
- Testing data model changes
Module 4. Workflow and Process Orchestration
Design and implement workflows that drive accountability and efficiency.
12 chapters in this module
- Workflow design principles
- Change request types and routing
- Parallel and sequential processing
- Dynamic agent determination
- Escalation and timeout handling
- Integration with external approvals
- User experience optimization
- Monitoring and KPI tracking
- Error handling and reprocessing
- Batch processing workflows
- Delegate and substitution models
- Audit trail configuration
Module 5. Data Quality and Stewardship Integration
Embed data quality practices into governance processes.
12 chapters in this module
- Data quality dimensions in MDG
- Rule creation and enforcement
- Matching and duplicate detection
- Survivorship rule design
- Data profiling integration
- Stewardship dashboard setup
- Issue resolution workflows
- Data certification campaigns
- Automated cleansing strategies
- Feedback loops to source systems
- Quality scorecard development
- Continuous improvement cycles
Module 6. Integration with SAP and Non-SAP Systems
Connect MDG to broader enterprise systems securely and efficiently.
12 chapters in this module
- IDoc vs. RFC vs. OData comparison
- Inbound and outbound interface design
- Master data distribution patterns
- Handling asynchronous communication
- Error logging and recovery
- Performance tuning for large volumes
- Security and authentication methods
- Monitoring integration health
- Change point detection
- Version compatibility management
- Testing integration scenarios
- Documentation standards
Module 7. Change and Release Management
Manage changes systematically across environments and teams.
12 chapters in this module
- Transport management strategy
- Development vs. production alignment
- Testing methodology for MDG
- User acceptance testing frameworks
- Go-live cutover planning
- Post-go-live support model
- Hotfix and emergency release
- Documentation requirements
- Training material development
- Knowledge transfer approaches
- Rollback planning
- Continuous delivery considerations
Module 8. Stakeholder Engagement and Organization Alignment
Align people, processes, and incentives across functions.
12 chapters in this module
- Identifying key stakeholders
- Building governance councils
- Data owner and steward roles
- Incentive and accountability design
- Communication planning
- Training delivery models
- Resistance management techniques
- Executive sponsorship engagement
- Cross-functional collaboration
- Metrics that drive behavior
- Feedback collection mechanisms
- Sustaining engagement over time
Module 9. Compliance, Audit, and Regulatory Readiness
Ensure MDG supports regulatory and internal audit requirements.
12 chapters in this module
- Regulatory landscape overview
- Audit trail configuration
- Segregation of duties design
- Data retention policies
- Privacy and consent management
- GDPR and similar frameworks
- SOX compliance integration
- External auditor preparation
- Internal control documentation
- Evidence collection workflows
- Policy exception handling
- Continuous monitoring setup
Module 10. Performance Monitoring and Optimization
Measure, analyze, and improve MDG system performance.
12 chapters in this module
- Key performance indicators for MDG
- System response time analysis
- User activity monitoring
- Workflow bottleneck identification
- Data volume growth planning
- Memory and database tuning
- Batch job scheduling optimization
- Alerting and notification setup
- Root cause analysis techniques
- Capacity planning methods
- Scalability testing
- Vendor support engagement
Module 11. Advanced Use Cases and Industry Patterns
Apply MDG to complex, real-world scenarios across industries.
12 chapters in this module
- Material master harmonization
- Customer data unification
- Vendor consolidation programs
- Asset data governance
- Financial master data controls
- Pharma regulatory requirements
- Retail product data management
- Utilities meter data handling
- Automotive part numbering
- High-volume transaction environments
- Global rollout strategies
- Localization and adaptation
Module 12. Future-Proofing and Evolution Planning
Prepare MDG programs for emerging technologies and business shifts.
12 chapters in this module
- AI and machine learning applicability
- Predictive data quality monitoring
- Natural language processing for stewardship
- Blockchain for data provenance
- Cloud migration pathways
- S/4HANA transformation alignment
- Metadata management convergence
- Data catalog integration
- Self-service governance models
- Continuous improvement roadmap
- Innovation pilot frameworks
- Retirement and sunsetting plans
How this maps to your situation
- Leading a greenfield MDG implementation
- Optimizing an existing MDG deployment
- Integrating MDG with S/4HANA or other systems
- Scaling governance across multiple data domains
Before vs. after
Before
Uncertainty about best practices, inconsistent workflows, and limited stakeholder alignment slow down MDG initiatives.
After
Confident execution using proven frameworks, clear ownership models, and scalable integration patterns that deliver trusted master data.
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 3-4 hours per module, recommended over 12 weeks for optimal retention and application.
If nothing changes
Without implementation-grade knowledge, even well-intentioned MDG programs risk delays, rework, and failure to achieve adoption, undermining data trust and digital transformation goals.
How this compares to the alternatives
Unlike vendor documentation or certification paths, this course focuses exclusively on implementation decisions, real-world trade-offs, and operational sustainability, providing actionable guidance not available in public SAP resources.
Frequently asked
Who is this course designed for?
Professionals with foundational SAP MDG Manager knowledge looking to lead or optimize real-world implementations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course technical or business-focused?
It bridges both perspectives, with content relevant to business leads, data stewards, and technical consultants involved in MDG deployments.
$199 one-time. Approximately 3-4 hours per module, recommended over 12 weeks for optimal retention and application..
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