SAP MM (Advanced - Data Taxonomy, Data Quality) Training Online Course
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SAP MM (Advanced - Data Taxonomy, Data Quality) Training Online Course Course Overview
Join SAP MM (Advanced – Data Taxonomy, Data Quality) training by Multisoft Systems to master data classification, cleansing, and governance in SAP MM. Learn to improve data accuracy and standardization through practical sessions and real-world scenarios. Enroll now and start your training within 24 hours with expert-led guidance for career advancement.
SAP MM (Advanced – Data Taxonomy, Data Quality) training by Multisoft Systems is designed to help professionals enhance their expertise in managing and optimizing material master data within SAP. This course focuses on advanced concepts of data taxonomy, classification, and data quality management to ensure consistency, accuracy, and reliability of procurement and inventory data. Participants will learn how to structure and standardize material data using taxonomy frameworks, enabling better categorization and efficient data retrieval. The training also covers data cleansing, validation techniques, and governance practices to maintain high-quality master data across the organization. Emphasis is placed on identifying data inconsistencies, eliminating duplicates, and implementing best practices for continuous data quality improvement.
With hands-on exercises and real-world use cases, learners will gain practical experience in improving SAP MM data processes. The course also highlights the impact of high-quality data on procurement efficiency, reporting accuracy, and business decision-making. Ideal for SAP MM consultants, data analysts, and procurement professionals, this training equips participants with the skills needed to enhance data-driven operations and ensure robust material management systems within enterprise environments.
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SAP MM (Advanced - Data Taxonomy, Data Quality) Training Online Course Course curriculum
Curriculum Designed by Experts
Join SAP MM (Advanced – Data Taxonomy, Data Quality) training by Multisoft Systems to master data classification, cleansing, and governance in SAP MM. Learn to improve data accuracy and standardization through practical sessions and real-world scenarios. Enroll now and start your training within 24 hours with expert-led guidance for career advancement.
SAP MM (Advanced – Data Taxonomy, Data Quality) training by Multisoft Systems is designed to help professionals enhance their expertise in managing and optimizing material master data within SAP. This course focuses on advanced concepts of data taxonomy, classification, and data quality management to ensure consistency, accuracy, and reliability of procurement and inventory data. Participants will learn how to structure and standardize material data using taxonomy frameworks, enabling better categorization and efficient data retrieval. The training also covers data cleansing, validation techniques, and governance practices to maintain high-quality master data across the organization. Emphasis is placed on identifying data inconsistencies, eliminating duplicates, and implementing best practices for continuous data quality improvement.
With hands-on exercises and real-world use cases, learners will gain practical experience in improving SAP MM data processes. The course also highlights the impact of high-quality data on procurement efficiency, reporting accuracy, and business decision-making. Ideal for SAP MM consultants, data analysts, and procurement professionals, this training equips participants with the skills needed to enhance data-driven operations and ensure robust material management systems within enterprise environments.
- Understand advanced concepts of data taxonomy in SAP MM
- Learn how to classify and structure material master data effectively
- Gain expertise in data quality management and governance practices
- Identify and eliminate duplicate, inconsistent, or incomplete data
- Implement data cleansing and validation techniques
- Standardize material data for improved consistency and usability
- Improve procurement and inventory processes through accurate data
- Learn best practices for maintaining long-term data quality
- Enhance reporting accuracy and decision-making capabilities
- Work with real-time scenarios and practical case studies
- Understand integration of master data across SAP modules
- Develop skills to manage and optimize enterprise data environments
Course Prerequisite
- Basic understanding of SAP MM (Material Management) module
- Knowledge of procurement and inventory management processes
- Familiarity with material master data concepts
Course Target Audience
- SAP MM Consultants
- SAP Functional Consultants
- Procurement Professionals
- Supply Chain Professionals
- Master Data Specialists
- Data Analysts
- SAP End Users (MM Module)
- Inventory Managers
- ERP Professionals
- Data Governance Professionals
- Business Analysts
- Fresh Graduates aspiring for SAP careers
Course Content
- 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
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- Understanding data taxonomy and classification
- Structuring material master data
- UNSPSC, eCl@ss, and custom taxonomy frameworks
- Hierarchies and categorization techniques
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- Material master structure and views
- Key fields and attributes in MM
- Data dependencies and field controls
- Best practices for material data creation
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- 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
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- Techniques for identifying duplicate and inconsistent data
- Data cleansing strategies and tools
- Standardization of naming conventions
- Mass data correction and updates
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- Data governance framework in SAP
- Roles and responsibilities (Data Owners, Stewards)
- Approval workflows and controls
- Compliance and audit requirements
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- Validation rules and checks in SAP MM
- Error detection and correction mechanisms
- Data quality monitoring techniques
- Use of reports and tools for validation
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- Integration with SAP SD, FI, and WM
- Cross-functional data consistency
- Impact of master data on end-to-end processes
- Data synchronization strategies
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- SAP reports for data analysis
- KPIs for data quality measurement
- Data profiling and analysis techniques
- Improving decision-making using clean data
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- Introduction to automation in data management
- Use of LSMW and migration tools
- Mass maintenance (MM17)
- Workflow automation for data updates
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- Industry use cases on data taxonomy
- Real-world data quality improvement scenarios
- Problem-solving exercises
- Best practices from enterprise implementations
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- 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) Training (MCQ) Assessment
This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :
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SAP MM (Advanced - Data Taxonomy, Data Quality) Training Online Course Trainer Profile
19+ Years Experienced
Our SAP MM (Advanced - Data Taxonomy, Data Quality) Training Corporate & Certification Program trainers bring 13+ years of proven industry expertise, delivering practical insights aligned with real project environments.
Trained 3950+ Professionals
Our expert trainers have successfully trained 3350+ professionals through structured, real-time training programs designed for industry readiness and career growth.
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Gain practical exposure through real-time scenarios, industry case studies, and hands-on assignments that simulate actual project challenges.
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SAP MM (Advanced - Data Taxonomy, Data Quality) Training Online Course FAQ's
This is an advanced-level course, so basic knowledge of SAP MM is recommended. Beginners can first complete SAP MM fundamentals training.
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