SAP Data Migration & Data Quality Certified Course

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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:

  • Migration lifecycle — planning, extraction, mapping, loading, and reconciliation.

  • Data quality management — cleansing, standardizing, deduplication, and validation.

  • 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

  • Understand the Complete Data Migration Lifecycle

  • Learn how to plan, execute, and manage data migration projects from legacy systems to SAP ECC / S/4HANA.
  • Develop Data Quality and Governance Skills

  • Apply best practices for data cleansing, standardization, validation, and deduplication to ensure accurate migration.
  • 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

  • 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
  • Data Quality Management

  • Data cleansing, standardization, and validation
  • Duplicate detection and resolution
  • Data profiling and ensuring accuracy, consistency, and completeness
  • 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
  • ETL (Extract, Transform, Load) Skills

  • Source-to-target mapping
  • Transformation logic design
  • Performance tuning and monitoring of migration jobs

Tools Covered

  • SAP Migration Cockpit (LTMC / LTMOM)

  • For migrating data from legacy systems to SAP S/4HANA
  • Supports object mapping, template creation, and automated data transfer

    .   LSMW (Legacy System Migration Workbench)

  • For batch data migration in SAP ECC
  • Supports BAPIs, IDocs, Direct Input, and Batch Input methods
  • SAP BODS (BusinessObjects Data Services)

  • ETL tool for data extraction, transformation, and loading
  • Data cleansing, validation, and quality management
  • IDocs & BAPIs

  • For automated data communication between SAP systems
  • Standard interfaces for transactional and master data migration

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?

  • SAP Functional Consultants

  • Professionals working in SD, MM, FI, PP, or other SAP modules who want to handle data migration efficiently.
  • Data Migration Specialists

  • IT professionals responsible for migrating data from legacy systems to SAP S/4HANA or ECC.
  • Data Quality & Governance Professionals

  • Individuals involved in maintaining data accuracy, consistency, and completeness across business systems.
  • 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

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