SAP Certified Associate SAP Master Data Governance (C_MDG_1909)

Introduction:

Master data governance represents a structured discipline that ensures the consistency, accuracy, and control of core business data across enterprise systems. Within SAP environments, it integrates governance frameworks, data models, and process controls to support reliable decision making and operational efficiency. This training program presents SAP MDG architectures, data governance frameworks, and lifecycle management structures aligned with enterprise data environments. It provides an institutional perspective on how organizations govern master data, enforce quality standards, and maintain data integrity through structured SAP MDG systems.

Program Objectives:

By the end of this program, participants will be able to:

• Analyze SAP Master Data Governance frameworks within enterprise environments.

• Evaluate data modeling and governance structures within SAP MDG systems.

• Assess master data lifecycle and workflow management frameworks.

• Examine data quality, validation, and control structures within MDG environments.

• Explore integration and data distribution frameworks across SAP systems.

Target Audience:

• SAP consultants and functional analysts.

• Data governance and data management professionals.

• IT and enterprise system specialists.

• Business process and data quality managers.

• Professionals involved in SAP implementation and support.

Program Outline:

Unit 1:

Foundations of SAP Master Data Governance:

• Master data governance concepts within enterprise systems.

• Role of SAP MDG within data management environments.

• Types of master data across organizational structures.

• Governance frameworks within SAP environments.

• Relationship between data governance and business performance.

Unit 2:

Data Modeling and Governance Structures in SAP MDG:

• Data modeling frameworks within SAP MDG systems.

• Entity structures within master data environments.

• Data domains within organizational data models.

• Governance structures within MDG configurations.

• Relationship between modeling and data consistency.

Unit 3:

Master Data Lifecycle and Workflow Management:

• Master data lifecycle frameworks within SAP systems.

• Workflow structures within data governance processes.

• Approval mechanisms within MDG environments.

• Change request frameworks within master data systems.

• Relationship between lifecycle control and data integrity.

Unit 4:

Data Quality and Validation Frameworks:

• Data quality management within SAP MDG environments.

• Validation rules within master data structures.

• Data cleansing frameworks within governance systems.

• Monitoring structures within data quality environments.

• Relationship between validation and data reliability.

Unit 5:

Integration and Data Distribution in SAP Environments:

• Integration frameworks within SAP landscapes.

• Data replication structures across systems.

• Interfaces within master data distribution environments.

• Synchronization models within enterprise systems.

• Relationship between integration and data consistency.