SAP data migration is one of the most critical process and methodology in enterprise transformation, ensuring accurate, secure, and seamless transfer of legacy and operational data into SAP systems. It requires advanced frameworks that combine governance, technical integration, and quality assurance to avoid risks such as data loss, redundancy, or compliance breaches. This training program provides in depth insights into the methodologies, tools, and governance structures that underpin successful SAP data migration. It emphasizes advanced planning, transformation strategies, validation processes, and optimization techniques aligned with enterprise system modernization.
Analyze frameworks and methodologies for structured SAP data migration.
Evaluate governance and compliance requirements in SAP migration projects.
Use advanced transformation, cleansing, and validation techniques.
Assess tools and technologies that support end-to-end SAP data migration.
Explore strategies for performance optimization, error reduction, and sustainability in migration environments.
SAP Project Managers and Migration Leads.
Data Governance and Compliance Officers.
Enterprise Architects and Solution Designers.
IT Managers overseeing ERP transformations.
Data Analysts and Integration Specialists.
Core principles and lifecycle of SAP data migration.
SAP Activate, ASAP, and Data Management Frameworks.
Oversight on scoping, stakeholder mapping, and migration readiness assessments.
Key steps used for defining critical data objects and prioritization structures.
Risks, dependencies, and resource planning for migration projects.
Governance frameworks for ensuring data quality and ownership.
Compliance requirements, GDPR, SOX, and industry specific mandates.
Metadata management and documentation standards in migration.
Roles and responsibilities in SAP migration governance.
Auditability and traceability process of migrated data.
Advanced techniques for data extraction, transformation, and loading (ETL).
Cleansing rules to eliminate redundancies and inconsistencies.
Validation frameworks for ensuring accuracy and completeness.
Importance of using SAP Data Services (BODS) and Information Steward for cleansing and profiling.
Error handling, exception reporting, and reconciliation techniques.
Overview of SAP tool, SAP Data Services, Migration Cockpit, and SLT (System Landscape Transformation).
Non-SAP supporting tools, Informatica, Talend, and other ETL platforms.
Integration structures between legacy systems and SAP ERP/S4 HANA.
Automation in data migration processes.
Cloud based migration strategies and hybrid deployment models.
Performance tuning in large scale SAP migration projects.
Strategies to minimize downtime and business disruption.
Frameworks for monitoring migration efficiency and benchmarking against predefined performance indicators.
Post migration validation and operational acceptance testing methods.
Sustainability measures for ensuring continuous data integrity and scalability.
