Introduction
This advanced SAP MDG course provides a deep dive into data modeling, process configuration, workflow governance, and extensibility options essential for building a robust, scalable, and compliant Master Data Governance environment. Participants gain hands-on experience in configuring data models, defining governance processes, designing rule-based workflows, integrating with SAP and non-SAP systems, and implementing best practices to ensure high-quality enterprise data across domains.

Prerequisites
• Basic understanding of SAP MDG architecture
• Familiarity with SAP ERP or S/4HANA data structures
• Knowledge of master data concepts and data quality principles
• Prior exposure to MDG functional setup and data governance processes

Table of Contents

1. SAP MDG Advanced Overview
 1.1 Understanding MDG Hub, Federated & Central Governance
 1.2 MDG Deployment Options and System Architecture
 1.3 Key Innovations in MDG on S/4HANA
 1.4 Governance Process Best Practices

2. Advanced Data Modeling in MDG
 2.1 Extending Standard Data Models
 2.2 Creating Custom Data Models Using Floorplan Manager
  2.2.1 Defining Entities, Attributes & Relationships
  2.2.2 Reuse and Flexibility Options
 2.3 Modeling Change Requests and Data Replication Models
 2.4 Data Model Validation & Performance Optimization

3. Process Configuration & Change Request Framework
 3.1 Change Request Types and Workflows
 3.2 Multi-Step Approval Processes
 3.3 Parallel Processing and Decision Tables
 3.4 Process Modeling using Rule-Based Workflow (BRF+)
 3.5 Configuring UI Models (FPM/UI5) for Change Requests

4. Workflow Governance & Automation
 4.1 Workflow Definitions and Task Configuration
 4.2 Business Rules Framework Plus (BRF+) for Decision Making
 4.3 Implementing Rule-Based Workflow Templates
 4.4 Escalations, Notifications & Deadline Monitoring
 4.5 Automating Workflows for High-Volume Master Data

5. Data Quality Management & Validation Framework
 5.1 Data Quality Rules and Validation Techniques
 5.2 Duplicate Check, Matching, and Consolidation Rules
 5.3 Mass Data Processing and Error Handling
 5.4 Integrating SAP Information Steward with MDG
 5.5 Quality Score Calculation & Reporting

6. Integration with SAP and Non-SAP Systems
 6.1 Data Replication using ALE, IDoc, and DRF
 6.2 MDG Integration with S/4HANA, ECC, and MDG-F/MDG-C
 6.3 Real-Time Data Governance with SAP BTP
 6.4 Leveraging APIs, OData Services & Web Services
 6.5 Integration Monitoring and Troubleshooting

7. Extensibility & Custom Enhancements
 7.1 Adding Custom UI Fields and Enhancing Screens
 7.2 BAdIs for Extended Validation and Workflow Logic
 7.3 Customizing Replication Models
 7.4 Enhancing Data Models for Domain-Specific Requirements
 7.5 Flexibility Options in S/4HANA MDG

8. Performance Optimization & Troubleshooting
 8.1 Monitoring Change Requests and Workflows
 8.2 Optimizing BRF+ Rules for Large Data Volumes
 8.3 System Performance Tuning Techniques
 8.4 Common Issues and Debugging Tools
 8.5 Best Practices for Stable MDG Operations

9. MDG Analytics & Reporting
 9.1 SAP Fiori Apps for MDG Analytics
 9.2 Prebuilt Reports and Dashboards
 9.3 Custom Analytical Queries
 9.4 Data Quality Scorecard Design
 9.5 MDG Process KPI Monitoring

10. MDG Implementation Best Practices
 10.1 Planning an MDG Rollout
 10.2 Data Migration Approach for MDG Deployment
 10.3 Governance Framework for Master Data Domains
 10.4 Risk Management and Data Compliance
 10.5 Post-Implementation Support & Continuous Improvement

This course equips participants with the advanced skills required to design, configure, and manage complex SAP MDG implementations. By mastering data modeling, workflow governance, integration techniques, and automation, learners are prepared to build high-quality, scalable, and compliant master data systems for enterprise environments. Participants complete the training with confidence to lead MDG projects, optimize data governance workflows, and ensure consistent master data excellence across the organization.