The primary objective of this course is to provide participants with a deep understanding of SAP Master Data Management (MDM) within the S/4HANA landscape. This training is designed to equip learners with the knowledge and skills required to manage, govern, and harmonize master data across the enterprise using S/4HANA’s advanced tools and methodologies.

Key Learning Objectives

1. Understand the Role of MDM in S/4HANA

   • Learn the significance of master data in enterprise business processes.

   • Identify how SAP MDM ensures consistency, accuracy, and control of data across systems.

2. Explore Master Data Domains

   • Deep dive into Material Master, Customer Master, Vendor Master, Business Partner, and Finance Master Data in S/4HANA.

   • Understand how data structures have evolved from ECC to S/4HANA.

3. Gain Hands-On Knowledge of MDG (Master Data Governance)

   • Understand MDG architecture, data models, and process templates.

   • Learn how to use MDG for central governance, consolidation, and mass processing.

4. Master Business Partner Approach in S/4HANA

   • Learn the integration and replacement of Customer/Vendor with Business Partner.

   • Understand BP roles, relationships, and configuration.

5. Implement Data Governance & Validation Techniques

   • Define data quality rules and validation processes.

   • Implement workflows, approvals, and audit trails for data changes.

6. Understand MDM Integration

   • Learn integration scenarios between SAP MDM and other systems (SAP & non-SAP).

   • Explore data replication and synchronization using ALE, IDocs, and SLT.

7. Implement Data Migration Techniques

   • Understand SAP Migration Cockpit and LSMW for MDM.

   • Plan and execute master data migration projects.

8. Explore Security, Authorizations & Data Ownership

   • Learn role-based access control in MDM processes.

   • Understand data stewardship and ownership models.

9. Hands-on Practice with Real-Time Scenarios

   • Practice managing data lifecycle in SAP using standard and custom workflows.

   • Resolve common issues in data creation, change, and deactivation.

10. Prepare for MDM-Related Roles and Certification

• Gain exposure to roles such as SAP MDM Consultant, Data Governance Analyst, and SAP MDG Functional Consultant.

• Build strong foundational knowledge to pursue SAP MDG/S/4HANA certifications.

Roles & Responsibilities in SAP MDM on S/4HANA

1. SAP MDM Consultant

• Design and maintain master data governance structures (Business Partner, Customer, Vendor, Material, etc.).

• Coordinate with business stakeholders to gather and analyze master data requirements.

• Ensure consistency, accuracy, and compliance of master data across modules and systems.

• Manage mass uploads, cleansing, and validation of master data using tools like LTMC, LSMW, or MDG.

• Implement and manage Data Quality, Data Validation Rules, and Duplicate Checks.

• Monitor data lifecycle from creation to archival, ensuring compliance with company policies.

• Collaborate with functional and technical teams to design automated workflows for data approval and enrichment.

• Support data migration activities during S/4HANA implementations or rollouts.

2. Master Data Governance (MDG) Expert

• Configure MDG components for domains such as Material, Business Partner, Finance, etc.

• Set up change request types, UI modeling, BRF+ rules, and rule-based workflow.

• Define governance processes ensuring proper stewardship and ownership.

• Perform consolidation, mass processing, and central governance tasks.

3. Data Steward / Data Owner

• Approve and validate master data requests.

• Monitor KPIs related to data quality and data completeness.

• Participate in audit and compliance data reviews.

• Act as a liaison between business and IT teams.

Methodology for Implementing SAP MDM on S/4HANA

1. Requirement Gathering

• Conduct workshops with business users to identify key master data objects.

• Define attributes, hierarchies, and classifications for each domain.

• Identify integration points with other SAP and non-SAP systems.

2. Master Data Assessment

• Analyze existing data sources and data quality.

• Perform data profiling and duplicate identification.

• Define cleansing and enrichment strategies.

3. Design & Blueprinting

• Design the MDM architecture using native S/4HANA capabilities or SAP MDG.

• Finalize data governance models and approval workflows.

• Establish naming conventions, validations, and field-level security.

4. Configuration & Development

• Configure MDM/MDG settings in the system.

• Develop data load templates and scripts for initial loads.

• Configure validations using BRF+, Rule Frameworks, and Derivations.

5. Data Migration & Loading

• Use tools like LTMC (Legacy Transfer Migration Cockpit) or SAP Data Services for mass upload.

• Conduct mock loads, trial migrations, and performance testing.

• Validate and reconcile loaded data with business teams.

6. Testing & Validation

• Perform Unit Testing, Integration Testing, and User Acceptance Testing (UAT).

• Validate workflows, rules, and data consistency checks.

• Test fallback and rollback procedures for data integrity.

7. Go-Live & Hypercare

• Final data migration and go-live cutover.

• Monitor master data processing and correct exceptions.

• Provide hypercare support for early adoption issues.

8. Governance & Continuous Improvement

• Establish ongoing data quality monitoring and alerts.

• Periodic review of governance models and business rules.

• Conduct training for data owners and stewards.

Key Tools & Concepts in SAP MDM on S/4HANA

• • LTMC / LTMOM

  • MDG (Central & Consolidation)

  • Data Services / SAP IS

  • BRF+ & Workflow

  • Data Replication Framework (DRF)

  • Fiori Apps for Master Data Maintenance

This training is ideal for professionals who are looking to build or enhance their expertise in Master Data Management within the S/4HANA ecosystem. It is especially suitable for:

• SAP Functional Consultants (MM, SD, FI, PP, etc.)
  who want to understand the role of master data and how to manage it effectively in S/4HANA environments.

• SAP Technical Consultants / ABAP Developers
  interested in working with MDM-related developments, enhancements, and integrations.

• Data Analysts / Data Stewards
  responsible for maintaining high-quality, consistent, and reliable master data across the organization.

• Business Analysts
  seeking to understand how accurate master data drives better business processes and decision-making.

• MDG / MDM Consultants
  who wish to transition to or upskill for the S/4HANA Master Data Framework.

• Project Managers & Team Leads
  who want to oversee MDM implementations, migrations, or data governance projects efficiently.

• Fresh Graduates / Entry-Level SAP Professionals
  looking to start a career in data management within the SAP ecosystem, especially in large enterprise environments.

1. Understanding Master Data Management in S/4HANA

   • Core concepts of Master Data in SAP (Material, Customer, Vendor, Business Partner, etc.)

   • Role and importance of MDM in enterprise data integrity and governance

2. SAP Business Partner Approach

   • Configuration and synchronization of Customer/Vendor using BP (Business Partner)

   • Integration of BP with S/4HANA modules (FI, SD, MM, etc.)

3. Master Data Governance (MDG) Fundamentals

   • Overview of MDG capabilities on S/4HANA

   • Centralized governance for key master data domains

   • Data modeling and data replication

4. Master Data Configuration & Customization

   • Material Master setup and views

   • Customer and Vendor Master configuration

   • Business Partner grouping, roles, and relationships

   • Field control and data screen customization

5. Data Quality Management

   • Validation rules and derivation logic

   • Duplicate check, search, and cleansing mechanisms

   • Data enrichment using rule-based frameworks

6. Mass Data Maintenance & Migration

   • Data migration techniques using LTMC, LSMW & BODS

   • Mass upload/download via SAP standard tools and custom programs

   • Change pointers, ALE, and IDocs for master data replication

7. Cross-module Master Data Integration

   • Integration of MDM with FI, MM, SD, PP, and other modules

   • Consistency and synchronization across modules

8. Workflow in Master Data Governance

   • Designing and configuring approval workflows

   • Role-based task management and change request handling

9. MDM on Fiori and SAP UI5

   • Master data applications using SAP Fiori apps

   • Fiori Launchpad roles and tile configurations for MDM

10. MDM in Centralized and Decentralized Environments

• Differences between embedded and hub deployment

• Strategies for centralized vs. federated MDM models

11. Data Governance & Compliance

• Data ownership, accountability, and stewardship

• Compliance standards (GDPR, SOX) for master data

12. Real-Time Project Scenarios

• Master data design in greenfield and brownfield implementations

• Support project issues, data correction, and audits

• Best practices for MDM documentation and testing

13. Resume Preparation & Interview Guidance

• Structuring project experience related to SAP MDM/MDG

• Common interview questions and expected answers

• Career guidance and certification tips (e.g., C_MDG_1909, C_MDG_2021)

To effectively learn and implement SAP Master Data Management (MDM) on S/4HANA, the following prerequisites are recommended:

1. Basic Understanding of SAP Environment

• Familiarity with core SAP modules (such as MM, SD, or FI)

• Overview of SAP S/4HANA architecture and its data model

2. Knowledge of Master Data Concepts

• Fundamental understanding of master data types:

  • Material Master

  • Customer Master

  • Vendor Master

  • Business Partner

• Importance of data consistency and governance

3. SAP GUI and Fiori Experience

• Working knowledge of SAP GUI navigation

• Exposure to SAP Fiori apps used for master data maintenance and governance

4. Business Process Knowledge

• Basic awareness of business processes that rely on master data (e.g., Procure to Pay, Order to Cash)

5. Optional but Beneficial Skills

• Experience with MDG (Master Data Governance) framework

• Exposure to Data Migration tools (e.g., LTMC, LTMOM)

• Basic knowledge of data cleansing, de-duplication, and data quality principles

6. For Technical Participants

(optional but helpful for developers or technical consultants)

• ABAP fundamentals (for extensions/custom validations)

• Understanding of IDOCs, ALE, or integration frameworks

• Knowledge of CDS Views and SAP BTP (if learning advanced master data integrations)

• What is Master Data?

• Importance of Master Data in SAP

• Overview of SAP MDM

• MDM vs MDG vs Data Services

• Key Concepts in Master Data Governance

• Understanding the Digital Core
• S/4HANA Data Model Simplifications
• Master Data in S/4HANA vs ECC
• Impact of HANA on Master Data

• Business Partner (BP) Concept

  • Customer & Vendor Integration (CVI)

• Material Master

• Chart of Accounts / G/L Master

• Cost Center / Profit Center Master

• Bank, Asset, and Employee Master Data

• BP Role Concepts
• BP Grouping, Number Ranges
• BP Relationship Management
• Synchronization between BP, Customer, and Vendor
• Data Replication & Integration (CVI Configurations)

• Material Types & Industry Sectors

• Organizational Levels in Material Master

• Material Groups, Units of Measure

• BOM, Classification, and Views

• Material Data Migration

• Customer Master Structure
• Vendor Master Structure
• Key Fields, Account Groups, and Partner Functions
• Reconciliation Accounts
• One-time Customers/Vendors

• Data Governance Framework

• Standardization, Enrichment, Validation

• Duplicate Check & De-duplication

• Data Quality Rules and KPIs

• Harmonization Strategies

• Introduction to Workflows
• Creating Approval Processes
• Workflow Templates in MDM
• Role-based Data Creation & Approval

• ALE/IDoc based Replication

• DRF (Data Replication Framework)

• Integration with External Systems

• Replication via Web Services / RFC

• Introduction to MDG (Master Data Governance)
• Differences & Use Cases: MDM vs MDG
• Introduction to MDG-F, MDG-C, MDG-S

• Legacy System Migration Workbench (LSMW)

• SAP Data Services Overview

• Migration Cockpit (LTMC / LTMOM)

• Best Practices for Data Migration

• User Roles & Authorization Objects
• Field Level Security
• Role-based Access Control (RBAC)
• Sensitive Fields and Change Logs

• Master Data Reporting Tools (SE16N, SQVI, CDS)

• Audit Trails & Change Logs

• Error Handling & Troubleshooting

• Master Data Monitoring KPIs

• Key Skills & Tools to Highlight
• Sample Interview Questions
• Project Documentation & Portfolio Tips
• SAP Certification Guidance (e.g., C_MDG_1909)

• Integration with FI, MM, SD, PP, HR, etc.
• Real-time Data Sharing Between Modules
• BP & Material Integration in Processes

• MDM Implementation Life Cycle

• Hands-on Configuration

• Use Cases from Industries (Retail, Pharma, Manufacturing)

• MDM Best Practices

• MDM Implementation Life Cycle

• Hands-on Configuration

• Use Cases from Industries (Retail, Pharma, Manufacturing)

• MDM Best Practices

1. SAP Master Data Management (MDM) on S/4HANA plays a crucial role in ensuring that data across the enterprise is consistent, accurate, and aligned with business processes. It forms the backbone for all transactional and analytical activities within the SAP ecosystem.

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   Why SAP MDM is Critical in S/4HANA Projects:

   1. Centralized Master Data Governance

      • Ensures a single source of truth for core master data objects such as Business Partners, Materials, Customers, Vendors, and Finance master data.

      • Reduces redundancy and inconsistencies across modules and systems.

   2. Supports Business Process Integrity

      • Clean and harmonized master data enables seamless integration across modules (e.g., SD, MM, FI).

      • Drives process automation and efficiency in procurement, sales, finance, and manufacturing.

   3. Foundation for Digital Transformation

      • In the context of S/4HANA, MDM is tightly integrated with innovations like SAP Fiori, Embedded Analytics, and Intelligent Technologies.

      • Critical for enabling Machine Learning and AI-driven insights, which rely on clean master data.

   4. Compliance and Data Quality Standards

      • Helps maintain GDPR and regulatory compliance through accurate data ownership and change tracking.

      • Enables standardized workflows for master data creation, validation, and approval.

   5. Enablement of SAP MDG (Master Data Governance)

      • SAP MDG on S/4HANA enables governance, consolidation, and central creation of master data.

      • Automates master data workflows, version control, and data replication across landscapes.

   6. Efficient Business Partner Approach in S/4HANA

      • Combines customer and vendor into a unified Business Partner object.

      • Simplifies data maintenance and improves integration with CRM, SRM, and Ariba.

   7. Support for Mergers, Acquisitions, and Rollouts

      • A strong MDM foundation ensures faster system integration and harmonization of master data in global rollout or M&A scenarios.