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Curriculum Designed by Experts
SAP MM (Advanced - Data Taxonomy, Data Quality) Corporate Training is designed for professionals aiming to master material master data classification, governance, and quality management within SAP Material Management. The course covers data taxonomy frameworks, data cleansing, validation techniques, duplicate prevention, and compliance standards. Participants gain practical knowledge to improve procurement efficiency, reporting accuracy, and decision-making while maintaining high-quality enterprise data across business processes.
SAP MM (Advanced – Data Taxonomy, Data Quality) training is a specialized course focused on improving the structure, classification, and quality of material master data in SAP. It covers data taxonomy frameworks, data cleansing, validation, and governance techniques to ensure accuracy and consistency. The training helps professionals eliminate duplicate and incomplete data, enhance procurement efficiency, and support better decision-making. With hands-on practice, learners gain skills to manage and maintain high-quality data within SAP Material Management environments.
- Overview of SAP MM processes
- Importance of master data in SAP
- Types of master data (Material, Vendor, Purchasing Info Records)
- Role of data quality in procurement and supply chain
- Understanding data taxonomy and classification
- Structuring material master data
- UNSPSC, eCl@ss, and custom taxonomy frameworks
- Hierarchies and categorization techniques
- Understanding data taxonomy and classification
- Structuring material master data
- UNSPSC, eCl@ss, and custom taxonomy frameworks
- Hierarchies and categorization techniques
- Definition and dimensions of data quality
- Data accuracy, completeness, consistency, and validity
- Common data quality issues in SAP MM
- Impact of poor data quality on business operations
- Techniques for identifying duplicate and inconsistent data
- Data cleansing strategies and tools
- Standardization of naming conventions
- Mass data correction and updates
- Data governance framework in SAP
- Roles and responsibilities (Data Owners, Stewards)
- Approval workflows and controls
- Compliance and audit requirements
- Validation rules and checks in SAP MM
- Error detection and correction mechanisms
- Data quality monitoring techniques
- Use of reports and tools for validation
- Integration with SAP SD, FI, and WM
- Cross-functional data consistency
- Impact of master data on end-to-end processes
- Data synchronization strategies
- SAP reports for data analysis
- KPIs for data quality measurement
- Data profiling and analysis techniques
- Improving decision-making using clean data
- Introduction to automation in data management
- Use of LSMW and migration tools
- Mass maintenance (MM17)
- Workflow automation for data updates
- Industry use cases on data taxonomy
- Real-world data quality improvement scenarios
- Problem-solving exercises
- Best practices from enterprise implementations
- Hands-on project on data cleansing and classification
- Building taxonomy structures
- Applying governance and validation rules
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SAP MM (Advanced - Data Taxonomy, Data Quality) Corporate Training Certification
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