SAP MDM and MDG Assessment Test

An SAP MDM (Master Data Management) and MDG (Master Data Governance) Assessment Test evaluates individuals on their proficiency in using and configuring SAP MDM and SAP MDG, two key solutions for managing and governing master data across an organization. SAP MDM is used for centralizing, consolidating, and synchronizing master data, while SAP MDG extends this functionality with governance capabilities, ensuring data quality, consistency, and compliance.

A SAP MDM and MDG Assessment Test evaluates candidates for:

SAP MDM (Master Data Management)

1. Familiarity with SAP MDM Architecture

• Overview of SAP MDM: Understanding the architecture and role of SAP MDM in centralizing, consolidating, and synchronizing master data across various systems (e.g., customer, vendor, material, product data).
• MDM Repository: Knowledge of setting up and managing the MDM repository where master data is stored, including schema design, data modeling, and data storage configurations.

2. Master Data Consolidation and Synchronization

• Data Consolidation: Proficiency in consolidating master data from multiple sources, managing duplicates, and maintaining a single source of truth for master data across the organization.
• Data Synchronization: Skills in configuring and managing data synchronization between SAP MDM and other systems, ensuring that master data updates are reflected across different systems in real-time.

3. Data Modeling and Management

• Data Modeling: Ability to define and manage data models for various master data objects (e.g., customer, material, product), ensuring accurate representation and integration with other systems.
• Taxonomies and Hierarchies: Understanding how to set up and manage taxonomies, classifications, and hierarchical structures for master data, ensuring it is properly categorized and linked.

4. Data Import and Export

• Data Import and Validation: Proficiency in setting up data import processes, including configuring data validation rules, cleansing data, and ensuring high data quality during the import process.
• Data Export and Distribution: Knowledge of exporting data to target systems and synchronizing updates to ensure all systems reflect the most up-to-date master data.

5. Data Cleansing and Enrichment

• Data Cleansing: Skills in identifying and resolving data quality issues, such as duplicates, missing fields, and inconsistencies, using SAP MDM’s data cleansing tools.
• Data Enrichment: Understanding of how to enrich master data with additional information from external or third-party sources, improving data accuracy and completeness.

6. Business Rules and Workflows

• Business Rules Management: Configuring and applying business rules to automate data validation, data consistency checks, and to ensure that data meets organizational standards.
• Workflow Management: Knowledge of setting up workflows to automate and manage data approval processes, ensuring that changes to master data go through the proper governance channels.

7. MDM Portal and User Management

• MDM Portal Configuration: Proficiency in configuring the MDM portal for end-users to access, manage, and update master data records.
• Role-Based Access Control (RBAC): Configuring user roles and permissions to control who can view, edit, approve, and manage master data, ensuring security and governance.

SAP MDG (Master Data Governance)

1. Familiarity with SAP MDG Architecture

• Overview of SAP MDG: Understanding the role of SAP MDG in managing and governing master data, ensuring data consistency, accuracy, and compliance with corporate and regulatory standards.
• Integration with SAP ERP/S/4HANA: Knowledge of integrating SAP MDG with SAP ERP or SAP S/4HANA for centralized master data governance and distribution across the organization.

2. Data Governance Framework

• Data Governance Setup: Skills in setting up a data governance framework using SAP MDG, including defining ownership, responsibilities, and data stewardship roles to ensure accountability for data quality.
• Governance Policies and Processes: Knowledge of establishing governance policies for master data, such as data creation, modification, and approval processes, to ensure that data management follows established standards.

3. Master Data Domains

• Managing Master Data Domains: Understanding how to configure and manage master data domains such as customer, vendor, material, finance, and product data in SAP MDG.
• Data Models and Attributes: Ability to design data models in SAP MDG for different domains, defining the relationships, attributes, and validation rules that apply to master data objects.

4. Data Validation and Approval Workflows

• Data Validation: Configuring data validation rules to ensure data quality and accuracy at the time of creation or modification, and setting up alerts for missing or incorrect data.
• Approval Workflows: Proficiency in setting up multi-step approval workflows, ensuring that changes to master data are reviewed and approved by the appropriate stakeholders before being published.

5. Change Request Management

• Change Request Handling: Managing change requests for creating, updating, or deleting master data records, and configuring approval chains that ensure governance before changes are applied.
• Audit Trails and Logging: Ensuring that all changes to master data are tracked with detailed audit logs, providing visibility into who made changes, when, and why, for governance and compliance purposes.

6. Data Replication and Distribution

• Data Replication: Configuring and managing data replication between SAP MDG and other SAP or non-SAP systems, ensuring that master data is distributed consistently and efficiently across the organization.
• Cross-System Data Distribution: Proficiency in setting up cross-system distribution, allowing data to flow between multiple systems seamlessly, while maintaining data quality and consistency.

7. User Interfaces and Customization

• UI Configuration: Skills in customizing the MDG user interfaces, including configuring user-friendly dashboards, role-based views, and data entry screens to enhance user interaction with master data.
• Custom Fields and Extensions: Understanding how to add custom fields and extend existing data models within SAP MDG to accommodate specific business requirements.

8. MDG Analytics and Reporting

• Data Quality Monitoring: Proficiency in using analytics tools in SAP MDG to monitor data quality, track data governance KPIs, and identify data inconsistencies or governance violations.
• Master Data Reporting: Skills in generating reports and dashboards to provide insights into master data health, governance processes, change requests, and audit trails.

Overall, an SAP MDM and MDG Assessment Test evaluates a candidate's ability to manage, govern, and maintain high-quality master data across an organization using SAP MDM and SAP MDG. It assesses both technical skills in configuring MDM/MDG solutions and the strategic knowledge required to establish governance frameworks, ensure data accuracy, and enable effective data management processes.

This evaluation is essential for identifying individuals who can ensure master data consistency, accuracy, and governance across systems, enabling organizations to make informed decisions based on reliable, governed data.