The SAP MDG (Master Data Governance) on S/4HANA course is designed to equip participants with comprehensive knowledge and practical expertise in managing, governing, and maintaining high-quality master data within the S/4HANA environment. By the end of the course, participants will be able to:

Understand the Role of SAP MDG in S/4HANA

• Learn the importance of centralized master data governance.

• Understand MDG’s integration with core S/4HANA processes.

• Identify the differences between hub-based and embedded deployment models.

Explore SAP MDG Architecture & Framework

• Understand MDG data models and their configuration.

• Learn about the reuse and flex mode for data models.

• Explore the MDG UI framework and workflow integration.

Master the Configuration of Master Data Domains

• Gain hands-on knowledge of setting up and managing:

  • Business Partner (Customer/Vendor)

  • Material Master

  • Financial Master Data (Cost Center, GL, etc.)

• Learn how to extend standard and custom data models.

Implement Workflows and Business Rules

• Configure rule-based and change request-based workflows.

• Use BRF+ and SAP Workflow to automate approvals and validations.

• Design custom validations and derivations.

Understand Data Quality, Governance, and Validation

• Implement data quality rules using SAP MDG rule framework.

• Monitor data quality KPIs using SAP Fiori apps.

• Handle duplicate checks and matching strategies.

Integrate SAP MDG with Other Systems

• Explore integration with SAP and non-SAP systems via ALE, SOA, and web services.

• Configure DRF (Data Replication Framework) for outbound replication.

• Understand how MDG integrates with SAP Information Steward, SAP Data Services, etc.

Leverage Fiori Applications in MDG

• Understand the role of SAP Fiori in enabling MDG users.

• Use Fiori apps for MDG-specific tasks like change requests, validations, and approvals.

Gain Project-Level Knowledge

• Learn key deliverables, documents, and checkpoints in MDG implementation projects.

• Understand testing, go-live support, and maintenance processes.

Prepare for Real-Time Scenarios & Interviews

• Work on case studies and industry-specific examples.

• Prepare for real-world challenges in MDG implementation and support.

• Get resume and interview preparation guidance tailored for SAP MDG roles.

1. Key Roles in an SAP MDG Project

a. SAP MDG Functional Consultant

• Understands business processes and master data requirements.

• Configures MDG data models (e.g., Business Partner, Material, Vendor, Customer).

• Designs data governance processes (approval workflows, validations, derivations).

• Maps master data to target systems (if integrating with external systems).

• Works closely with business users and data stewards.

b. SAP MDG Technical Consultant

• Develops custom UI screens using FPM or Web Dynpro if needed.

• Implements BRF+ rules, validations, and derivations.

• Works on enhancements (BADIs, BAPIs, BTEs).

• Integrates MDG with other SAP and non-SAP systems (e.g., via ALE/IDoc, SOA).

• Handles replication frameworks and data distribution.

c. Data Steward / Master Data Analyst

• Responsible for initiating and validating master data creation/change requests.

• Ensures data quality and compliance to governance policies.

• Collaborates with business units to define master data attributes and standards.

d. MDG Architect / Solution Lead

• Designs overall MDG architecture on S/4HANA.

• Defines data domains and governance strategy.

• Manages the integration with SAP ECC, S/4HANA, or external systems.

• Ensures scalability and performance optimization of the MDG solution.

2. Responsibilities in SAP MDG Projects

3. Methodology for SAP MDG Implementation

SAP MDG projects typically follow the SAP Activate Methodology, which includes:

Phase 1: Discover

• Identify business challenges related to master data.

• Evaluate MDG as a solution to data governance issues.

Phase 2: Prepare

• Kick-off project, define scope and target data domains.

• Set up project governance and team structure.

• Create initial landscape setup (MDG sandbox/dev systems).

Phase 3: Explore

• Fit-gap analysis of out-of-the-box MDG capabilities vs. business requirements.

• Define master data models, governance processes, and workflows.

Phase 4: Realize

• Configure MDG data models (e.g., MDG-BP, MDG-M, MDG-C/S).

• Develop custom enhancements (BRF+, UI customizations, BADIs).

• Setup replication mechanisms and integrations.

• Unit Testing and Functional Testing.

Phase 5: Deploy

• Final testing (SIT/UAT), Data load & cleansing.

• Move configuration to production.

• Train end users and data stewards.

• Go-live and cutover activities.

Phase 6: Run

• Hypercare support.

• Ongoing monitoring of data governance processes.

• Continuous improvement (change requests, process tuning).

4. Deliverables in MDG Projects

• • MDG Configuration Document (Data Models, Workflows)

  • BRF+ Rule Documentation

  • Functional and Technical Specifications (FS/TS)

  • Data Governance Strategy

  • Data Quality and Validation Reports

  • Testing Artifacts (UTP, UAT scripts)

  • End-User Training Manuals

  • Cutover and Go-live Plan

• SAP Functional Consultants (MM, SD, FI, etc.)
  Looking to expand their expertise in master data governance and take on cross-functional data roles.

• SAP Technical Consultants/ABAP Developers
  Interested in understanding the data models, enhancements, and workflows within MDG to support technical development.

• Data Management Professionals
  Who want to specialize in enterprise-wide data governance using SAP’s centralized MDG platform.

• Business Analysts & Process Owners
  Aiming to improve master data quality, compliance, and consistency across business units.

• SAP Master Data Teams (MDM)
  Involved in creating, maintaining, and validating master data, seeking automation and standardization via SAP MDG.

• IT Managers & Architects
  Planning or managing SAP S/4HANA transformations, who need a deep understanding of governance tools for master data.

• Freshers with SAP Knowledge
  Aspiring to enter the SAP ecosystem with a focus on data governance, quality, and analytics.

By the end of this course, you will acquire in-depth knowledge and practical skills required to implement, configure, and manage SAP MDG (Master Data Governance) on the S/4HANA platform. Key skills include:

Core SAP MDG Concepts

• Understanding of SAP MDG architecture and integration with S/4HANA

• Deep dive into MDG data models (Material, Customer, Supplier, Finance)

• Master data lifecycle and governance processes

MDG Configuration & Customization

• Configuration of MDG data models using standard and custom objects

• Customizing UI using Floorplan Manager (FPM)

• Workflow configuration using BRF+

• Creation and management of change requests and process models

Data Quality and Validation

• Implementing data validation rules and derivations

• Configuring duplicate checks and data cleansing strategies

• Managing central governance and consolidation scenarios

Data Replication & Integration

• Setting up data replication using DRF (Data Replication Framework)

• Integration with SAP and non-SAP systems

• Use of SOA services and IDocs for data distribution

Fiori and MDG Applications

• Working with SAP Fiori apps for MDG processes

• Role-based access and Fiori tile configurations for MDG users

MDG Security & Authorizations

• Managing role-based access control (RBAC) for MDG users

• Authorization concepts specific to MDG workflows and data access

Analytics and Monitoring

• Using SAP MDG analytics tools for tracking and reporting

• Monitoring data quality KPIs and governance performance

Real-Time Hands-on Experience

• End-to-end practice on real-time business scenarios

• Functional and technical exposure to MDG project landscapes

This course equips you with the essential skills to take on roles like SAP MDG Consultant, Master Data Analyst, or Data Governance Specialist in S/4HANA environments.

To successfully learn and implement SAP MDG (Master Data Governance) on S/4HANA, the following foundational knowledge and skills are recommended:

1. Basic SAP Knowledge

• Understanding of SAP modules and navigation

• Familiarity with SAP S/4HANA system landscape and architecture

2. Functional Process Knowledge

• Basic knowledge of business processes related to:

  • Finance (FI)

  • Materials Management (MM)

  • Customer/Vendor Management (BP)

• Awareness of how master data impacts end-to-end business scenarios

3. SAP Master Data Concepts

• Knowledge of key master data objects like:

  • Business Partner

  • Material Master

  • Cost Center, GL Accounts, etc.

• Understanding of master data lifecycle and dependencies

4. Technical Background (Optional but Beneficial)

• ABAP basics (for customizing or understanding enhancements)

• SAP Data Dictionary familiarity

• Knowledge of BRF+, FPM, and Web Dynpro (for UI modeling/customization)

5. Data Governance & Quality Concepts

• Awareness of data standards, data validation, and governance principles

• Exposure to data migration and cleansing practices

6. SAP Fiori (Recommended)

• Basic exposure to SAP Fiori apps and user experience, as MDG on S/4HANA utilizes Fiori-based interfaces

• Describe the purpose of SAP MDG
• Domains
• Finance
• Supplier
• Material
• Customer
• Business Partner
• Assets
• WBS
• Catalogue

• Navigation
• Out of Box content
• IMG
• Search
• Create

• SAP data dictionary
• Entity type
• Attributes
• Entity Relationship types
• Extending data Model
• Data model specific structures.
• Extend Mappings (SMT)

• Roles
• User comparison
• Authorization Objects
• Assignments of the Authorization object to the Roles
• Roles Vs Launchpad

• Roles
• User comparison
• Authorization Objects
• Assignments of the Authorization object to the Roles
• Roles Vs Launchpad

• Change request Types
• Change request status
• Business Activity
• Activate Type Linkage

• Data Modelling
• IMG
• Enhance Standard Data Models – MM, BP, 0Getc
• Create Custom model
• Process Modelling
• IMG
• Enhance Standard CR
• Create Custom CR

• Data Modelling
• IMG
• Enhance Standard Data Models – MM, BP, 0Getc
• Create Custom model
• Process Modelling
• IMG
• Enhance Standard CR
• Create Custom CR

• Fiori Roles
• UI per workflow step
• Configuring the UI as per user defined criteria
• BADIs for UI modelling

• Business Workflow basics
• Rule based work flow (RBWF)
• Create change requests, step types, actions and link to RBWF
• Linking rule based workflow to MDG

• UI Modelling
• IMG
• Enhance Standard UIs
• Create Custom UI
• Workflow Modelling
• IMG
• Enhance Standard workflow templates
• Create Custom workflow

• TREX basics
• Configuring Search with TREX
• ESH Cockpit
• Duplicate check configuration.

• BRF+ basics
• Validations and Derivations using ABAP BADI
• Cross entity derivation using ABAP BADI
• Using BRF+ decision tables in Workflow

• Search & Duplicate
• IMG
• Enhance Standard search& duplicate
• Validations Modelling
• IMG
• Create Custom BRF+ validations
• Create a complex workflow using BRF+

• Case study
• Workshop
• Best Practices

• ALE & IDOCs basics
• Data replication Framework (DRF)
• Manual & Automatic replication & import (DIF)
• Data Import using excel, XML
• Mass Change & upload

• BADI Implementation
• Linking change request UIs to NWBC
• Creating new roles for MDG

• Data Import & Export
• IMG
• DRF – replicate 1 standard and 1custom IDOC each
• DIF – import 1 excel & 1 XML file each
• Mass Change
• Others
• Implement at least 1custom master data entity end to end from search to
  replicate
   Create1 custom BADI for validation across entities

1. Importance of SAP MDG on S/4HANA Projects

   • Ensures central governance of master data (Business Partner, Customer, Vendor, Material, etc.).

   • Provides data consistency, accuracy, and compliance across all business processes.

   • Critical for data quality management, duplicate checks, and workflow-based approvals.

   • Plays a key role during SAP S/4HANA implementations, migrations, and master data harmonization.

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   2. Types of SAP MDG Projects

   • Greenfield Implementation Projects

   • Brownfield/Conversion Projects

   • Support & Maintenance Projects

   • MDG Rollout Projects (Multiple Regions/Divisions)

   • MDG Consolidation & Central Governance Projects

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   3. Role of an MDG Consultant in Each Type of Project

   • Implementation: Configure MDG for specific domains, set up workflows, data models, and validations.

   • Support: Handle master data errors, approval issues, and change requests.

   • Rollout: Replicate central governance processes across geographies.

   • Upgrade: Migrate from classical master data handling to MDG-compatible structure.

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   4. Naming Standards in MDG Projects

   • Naming conventions for:

     • Data Models (e.g., BP, MAT, SUPPLIER)

     • Change Requests (CR Types)

     • UI Configurations & Workflow Steps

     • Business Rules & BRF+ Functions

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   5. Configuration & Development Standards

   • Use of Reuse and Flex Mode

   • Change Request Types and Workflow Templates

   • Key Mapping and Value Mapping Standards

   • BRF+ rules for validations and derivations

   • Replication Framework (DRF) configurations

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   6. List of Project Documents

   • Functional Specification (FS) for data governance and domain-specific requirements

   • Technical Specification (TS) for custom enhancements

   • Data Model Documentation

   • Workflow Design Documents

   • MDG Validation and Derivation Logic

   • UTP (Unit Test Plan)

   • Change Logs and Issue Registers

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   7. Document Preparation & Review

   • FS/TS for new CR Types, UI enhancements, or validation rules

   • Data Governance Framework Document

   • UTP for End-to-End CR Flow Testing

   • Issue Logs for tracking workflow errors, validation issues, and performance tuning

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   8. MDG Tools & Governance Features

   • DRF (Data Replication Framework)

   • Data Quality Management

   • Key Mapping & Value Mapping

   • BRF+ Rule Framework

   • Data Quality Scorecards

   • SAP MDG Consolidation & Mass Processing

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   9. Advanced Concepts in SAP MDG

   • MDG-F (Finance), MDG-C (Customer), MDG-S (Supplier), MDG-M (Material)

   • UI Modifications with Floorplan Manager (FPM)

   • Custom Entity Modeling

   • Staging vs Reuse Mode Differences

   • Harmonization of Master Data Across Systems

   • Integration with SAP ECC, Ariba, and S/4HANA

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   10. Ticket Handling in Support Projects

   • CR stuck in approval

   • Data not replicating to target system

   • Workflow errors

   • Missing UI fields or validations not working

   • Performance issues during mass data processing

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   11. Resume Preparation & Career Guidance

   • How to present MDG domain expertise (Customer, Vendor, Material, BP, Finance)

   • Common interview topics: data models, BRF+, DRF, UI modeling

   • Key certifications: SAP Certified Application Associate – MDG

   • Highlighting business knowledge, e.g., Supplier onboarding, Customer lifecycle, etc.