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The SAP MDG (Master Data Governance) Syllabus focuses on managing, governing, and maintaining high-quality master data across enterprise systems using SAP. It covers data governance processes, data modeling, workflows, validation rules, business partner management, and integration with SAP applications. This training explains how organizations ensure consistent, accurate, and centralized master data for better business operations and reporting. It is important because poor master data can lead to operational errors, compliance issues, and inaccurate decision-making. It is ideal for SAP consultants, data governance professionals, business analysts, and ERP professionals working on enterprise data management and governance projects.
🎯 Level: Beginner → Advanced
🎯 Mode: Functional + Configuration + Workflow + Integration + Project
Duration of Training : 40 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Curriculum Designed by Experts
Topics:
What is Master Data?
Need for Data Governance
MDG Architecture Overview
MDG Deployment Options (Hub, Co-Deployment)
Data Quality Concepts
💼 Job Scenario:
Duplicate vendor master data across multiple company codes
Topics:
MDG Data Model
Staging Area vs Active Area
Reuse Active Area
UI Framework (FPM)
BRF+ Rules
Change Request Framework
🔬 Lab:
Navigate MDG data model
Explore change request types
Topics:
Business Partner Model
Customer & Vendor Integration
Data Replication Framework (DRF)
Duplicate Check
Account Groups
BP Roles
🔬 Lab:
Create BP change request
Activate customer/vendor
📘 Assignment:
Design BP governance workflow
💼 Job Scenario:
Centralized vendor creation approval process
Topics:
Material Data Model
Key Mapping
Hierarchies
Data Validation
Data Replication
🔬 Lab:
Create material via change request
Validate & activate
💼 Job Scenario:
Control material creation across 5 plants
Topics:
Change Request Types
Workflow Configuration
Approval Levels
BRF+ Validation Rules
Parallel vs Sequential Approvals
🔬 Lab:
Configure multi-level approval workflow
📘 Assignment:
Create workflow for finance data approval
Topics:
DRF Configuration
Replication Models
SOA & IDoc Integration
Error Handling
Key Mapping
🔬 Lab:
Configure replication to S/4HANA
Topics:
Duplicate Check
Data Enrichment
Validation Rules
Search Helps
Data Quality Metrics
🔬 Lab:
Configure duplicate check logic
Topics:
Role-Based Access
Change Request Authorization
Segregation of Duties
Audit Logs
Topics:
MDG Hub vs Co-Deployment
Integration with FI/MM/SD
External System Integration
Migration Strategy
Topics:
Change Request Monitoring
Data Replication Monitoring
MDG Analytics
Fiori Apps for MDG
🎯 Project: Enterprise Master Data Governance Implementation
Includes:
BP governance design
Material governance
Workflow design
Validation rules
Replication to S/4HANA
Security model
Deliverables:
✔ Data Governance Blueprint
✔ Workflow Diagram
✔ Validation Rules Document
✔ Replication Design
✔ Testing Scenarios
After completion, learner can:
✔ Implement SAP MDG-BP & MDG-M
✔ Configure workflows & validation
✔ Handle data replication
✔ Design governance framework
✔ Support production issues
SAP MDG Consultant
SAP Data Governance Consultant
SAP MDG Functional Consultant
SAP Master Data Analyst
SAP S/4HANA Data Lead
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