A Practical Guide Arziaev, Aleksei. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text xxu 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVI, 197 p. 11 illus. online resource. This book serves as a comprehensive step-by-step guide to managing data migration for new on-premises SAP S/4HANA implementations. It is tailored for projects ranging from small to large, with a focus on the managerial aspects of the data migration process rather than the technical details. You’ll follow a project-led approach, enriched with a practical case study, and a comprehensive methodology for data migration planning and documentation. Then traverse through a detailed plan on managing and documenting data migration throughout the project lifecycle. This book utilizes the general SAP Activate methodology for on-premises solutions as its foundational framework, enhancing it with specific strategies for data migration. Data Migration Management for SAP S/4HANA methodically covers planning, organizing, and monitoring the data migration process. It serves as an essential guide for professionals tasked with implementing SAP S/4HANA in their business. You will: • Significantly decrease the time needed for both the preparation and execution of data migration activities • Foster clear transparency in data migration processes for all stakeholders, including the customer and the project team • Facilitate a seamless and timely data migration process • Establish a benchmark for data migration management in future projects • Address and remedy any deficiencies in the SAP Activate methodology pertaining to data migration. Chapter 1: Introduction -- Chapter 2: Data Migration Scoping -- Chapter 3: Data Migration Planning and Preparation -- Chapter 4: Data Migration Design -- Chapter 5: Data Migration Testing and Validation -- Chapter 6: Actual Data Migration and Data Acceptance -- Chapter 7: Post Data Migration Activities -- Chapter 8: Conclusion. by Aleksei Arziaev. Information technology Management Business information services Engineering Data processing Computer Application in Administrative Data Processing Enterprise Architecture Data Engineering HD30.19-.29 9798868803338 https://doi.org/10.1007/979-8-8688-0333-8 https://doi.org/10.1007/979-8-8688-0333-8 240701 20251030112607.0 979-8-8688-0333-8