About Course
SAP Data Migration & Data Quality courses teach you how to plan, execute, clean, validate, and migrate data between systems — especially into SAP environments like SAP ECC or SAP S/4HANA. These are critical skills in implementation projects and digital transformations.
They cover topics like:
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Migration lifecycle — planning, extraction, mapping, loading, and reconciliation.
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Data quality management — cleansing, standardizing, deduplication, and validation.
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Use of key SAP tools such as LSMW, Migration Cockpit, BODS (SAP Data Services), and S/4HANA specific utilities.
Completing these courses can prepare you for SAP consulting roles like Data Migration Consultant, Data Services Developer, Data Quality Analyst, or Master Data Governance Specialist.
Skills You Will Gain
1. End-to-End Data Migration Skills
- Understanding complete data migration lifecycle
- Data extraction from legacy systems
- Data mapping, transformation & validation
- Data loading into SAP ECC / S/4HANA
- Post-migration reconciliation & error handling
2. Data Quality Management
- Data cleansing & standardization
- Duplicate identification & removal
- Data profiling & quality assessment
- Data validation rules & business rule creation
- Ensuring data accuracy, completeness & consistency
3. Expertise in SAP Migration Tools
- SAP Migration Cockpit (LTMC / LTMOM)
- SAP LSMW (Legacy System Migration Workbench)
- SAP BODS (Data Services)
- IDocs, BAPIs & BDC techniques
- S/4HANA specific migration utilities
4. ETL (Extract, Transform, Load) Skills
- Source-to-target mapping
- Designing transformation logic
- Error tracking & job monitoring
- Performance tuning of migration jobs
Course Content Enables Students To
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Understand the Complete Data Migration Lifecycle
- Learn how to plan, execute, and manage data migration projects from legacy systems to SAP ECC / S/4HANA.
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Develop Data Quality and Governance Skills
- Apply best practices for data cleansing, standardization, validation, and deduplication to ensure accurate migration.
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Gain Hands-On Experience with SAP Tools
- Master SAP Migration Cockpit (LTMC / LTMOM), LSMW, SAP BODS, IDocs, BAPIs, and S/4HANA migration utilities.
- Perform ETL Operations Effectively
- Extract, transform, and load data with practical, real-world scenarios, including mapping, reconciliation, and error handling.
Essential Skills You Will Gain
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SAP Data Migration Expertise
- End-to-end understanding of migration lifecycle
- Hands-on experience with legacy-to-SAP data transfers
- Error handling, reconciliation, and post-migration validation
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Data Quality Management
- Data cleansing, standardization, and validation
- Duplicate detection and resolution
- Data profiling and ensuring accuracy, consistency, and completeness
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Proficiency with SAP Migration Tools
- SAP Migration Cockpit (LTMC / LTMOM)
- LSMW (Legacy System Migration Workbench)
- SAP BODS (BusinessObjects Data Services)
- IDocs, BAPIs, and S/4HANA migration utilities
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ETL (Extract, Transform, Load) Skills
- Source-to-target mapping
- Transformation logic design
- Performance tuning and monitoring of migration jobs
Tools Covered
. LSMW (Legacy System Migration Workbench)
Syllabus
Module 1: Introduction to SAP Data Migration
- Overview of SAP ECC & S/4HANA data migration
- Importance of data quality in migration projects
- Key challenges and best practices
- Data migration lifecycle: planning, extraction, transformation, loading, validation
Module 2: Data Quality Fundamentals
- Understanding data quality dimensions (accuracy, completeness, consistency)
- Data profiling techniques
- Identifying duplicates and anomalies
- Data standardization and cleansing
Module 3: SAP Migration Tools Overview
- Introduction to SAP Migration Cockpit (LTMC / LTMOM)
- Overview of LSMW (Legacy System Migration Workbench)
- Introduction to SAP BODS (BusinessObjects Data Services)
- IDocs, BAPIs, and S/4HANA migration utilities
Module 4: Master Data Migration
- Customer, Vendor, Material, GL, Business Partner data migration
- Master data mapping and templates
- Cross-module master data dependencies
- Validation and reconciliation
Module 5: Transactional Data Migration
- Migration of Sales Orders, Purchase Orders, and FI/CO documents
- Handling transactional dependencies
- Data transformation and mapping
- Error handling and reconciliation
Module 6: ETL and Data Mapping Techniques
- Source-to-target mapping
- Data extraction, transformation, and loading process
- Transformation logic design and validation
- Performance tuning and optimization of migration jobs
Module 7: Migration Planning & Execution
- Migration strategy and roadmap creation
- Cutover planning and execution
- Preparing mapping documents and templates
- Testing migration scenarios (Unit, Integration, UAT)
Module 8: Troubleshooting & Error Handling
- Identifying migration issues and common errors
- Data reconciliation and reporting
- Root cause analysis and corrective measures
- Audit trails and documentation
Module 9: Advanced Data Quality Management
- Data cleansing using BODS and Excel tools
- Business rule creation and validation
- Data quality monitoring and dashboards
- Maintaining long-term data integrity
Module 10: Real-Time Projects & Case Studies
- End-to-end data migration project simulation
- Hands-on migration of master and transactional data
- Implementing data quality measures on real datasets
- Post-migration validation, reporting, and best practices
Industry Projects
Project 1: Master Data Migration
- Migrate Customer, Vendor, Material, and GL master data from a legacy system to SAP S/4HANA.
- Create mapping templates and validation rules.
- Perform post-migration data reconciliation and error correction.
Project 2: Transactional Data Migration
- Migrate transactional data such as Sales Orders, Purchase Orders, and FI documents.
- Handle cross-module dependencies and data interlinkages.
- Perform end-to-end data validation and reporting.
Project 3: SAP LSMW Migration Project
- Execute a full migration using Legacy System Migration Workbench (LSMW).
- Implement BAPIs, IDocs, and Batch Input methods.
- Learn troubleshooting and error handling in a simulated business environment.
Project 4: Data Cleansing & Quality Management
- Identify duplicate or inconsistent data in legacy datasets.
- Apply data cleansing, standardization, and validation rules using SAP BODS and Excel tools.
- Monitor data quality using dashboards and reporting techniques.
Who Is This Program For?
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SAP Functional Consultants
- Professionals working in SD, MM, FI, PP, or other SAP modules who want to handle data migration efficiently.
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Data Migration Specialists
- IT professionals responsible for migrating data from legacy systems to SAP S/4HANA or ECC.
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Data Quality & Governance Professionals
- Individuals involved in maintaining data accuracy, consistency, and completeness across business systems.
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ETL / SAP BODS Developers
- Developers who want hands-on skills in data extraction, transformation, and loading using SAP BODS or other migration tools.
How To Apply
Mobile: 9100348679
Email: coursedivine@gmail.com