SAP Data Migration in the Age of AI
Architecting, Executing, and Governing S/4HANA Transformations with the Migration Cockpit and Generative AI
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Beschreibung
SAP S/4HANA data migration is one of the most critical and complex phases of any digital transformation initiative. While organizations invest heavily in modern ERP platforms, project success ultimately depends on the quality, governance, and migration of business data. This book provides a comprehensive, end-to-end guide to planning, designing, and executing enterprise-scale SAP S/4HANA data migration projects. Covering migration strategy, governance, SAP Migration Cockpit (DMC), Migration Object Modeler (LTMOM), data profiling, reconciliation, performance optimization, cutover planning, and hypercare, it equips readers with the practical knowledge required to deliver successful migration programs across Greenfield, Brownfield, and Selective Data Transition scenarios. Built around SAP's latest transformation landscape, including RISE with SAP, SAP Business Data Cloud, and both Public and Private Cloud deployments, the book reflects the realities of modern enterprise implementations.
Readers will learn how to leverage Generative AI, SAP BTP AI services, and machine learning to automate data profiling, schema mapping, cleansing, reconciliation, and post-load validation while maintaining governance and auditability. Drawing on real-world SAP transformation programs across multiple industries, the book combines proven implementation frameworks, practical troubleshooting techniques, and enterprise case studies to help consultants, architects, and project leaders reduce project risk, improve migration quality, and accelerate successful SAP S/4HANA transformations.
You Will:
- Develop a migration strategy tailored to Greenfield, Brownfield, and Selective Data Transition projects across SAP S/4HANA deployment models
- Configure and extend SAP Migration Cockpit (DMC) and Migration Object Modeler (LTMOM) to migrate standard and custom business objects
- Evaluate migration readiness, troubleshoot complex data migration issues, and execute successful cutover and hypercare activities with confidence
This book is for: SAP consultants, SAP S/4HANA migration specialists and solution architects.
Master the full S/4HANA migration lifecycle using tested governance and real-world case studies Apply Generative AI to automate data profiling, schema mapping, cleansing, migration and reconciliation Master Migration Cockpit, LTMOM, RISE with SAP, Clean Core, and Public/Private Cloud models
Autor*in
Kushal Rajput
Themen in »SAP Data Migration in the Age of AI«
SAP Data Migration Cockpit DMC S/4HANA Migration LTMOM Migration Object Modeler SAP Data Management Data Governance Staging Tables Value Mapping SAP Data Migration