Selective Data Transition to SAP S/4HANA

Multilingual Book

🇺🇸 English (Original) 🇪🇸 Spanish (Translation)

✅ All languages are included in your purchase

Publisher SAP PRESS

Year / Edition 2027 / 1

Pages 435

Authors Ildar Akhmerov, Stefano Castiglioni, Avinash Janakiraman

Selective Data Transition to SAP S/4HANA

The clock is ticking on your move to SAP S/4HANA—and if your migration is complex, there’s no time to lose!Get the decision-making guidance and implementation expertise you need to plan and execute your selective data transition (SDT) project. Start by planning your approach, and if you have multiple SAP ERP instances, consolidating your systems. Then dive into the project methodology: prepare your target system, transform your data, manage downtime, and more. With expert guidance on transition options for key SAP Business Suite solutions and lean SDT, this is your all-in-one resource!

Plan and execute selective data transition projects to SAP S/4HANA
Follow end-to-end guidance, from scoping and planning through migration execution and data validation
Explore lean selective data transition for simpler implementations

You'll learn about:

Planning Your Transition Project:
Begin your project planning! Understand the clean core approach and make critical decisions that will shape your implementation strategy: standard or lean SDT, table- or API-based migration, and more.
Putting Your Plan into Action:
Perform preparation activities in your source systems, including data analysis and cleansing, migration test cycles, and downtime reduction. Walk through SDT execution, from data migration and transformation to validation and testing.
Real-World Examples and Best Practices:
Get expert tips and best practices for SDT. Follow industry-specific, real-world use cases demonstrating critical lessons learned to help shape your successful SDT implementation project.

Key Highlights:

SAP S/4HANA transition
Implementation planning
Clean core
Project methodology
Project execution
Data transformation
Data validation
Lean SDT with SAP Cloud ALM
Use cases

View Full Table of Contents

Foreword by Tom Hansen
Preface
1 Introduction to SAP S/4HANA Transition Scenarios
- 1.1 Understanding SAP’s Strategy and Value Drivers for Transformation
- 1.2 SAP S/4HANA Transition Options
  - 1.2.1 Brownfield Transition
  - 1.2.2 Greenfield Transition
  - 1.2.3 Selective Data Transition
- 1.3 Transition Net: The Five Big Questions
- 1.4 Use Cases for Selective Data Transition
  - 1.4.1 SAP ERP to SAP S/4HANA Transition
  - 1.4.2 System Consolidation, Mergers and Acquisitions, and Divestiture
  - 1.4.3 Selective Migration Within SAP S/4HANA
- 1.5 On-the-Fly Transformations with SAP S/4HANA
- 1.6 Planning Services and Tools from SAP
- 1.7 Summary
2 Clean Core and the Need for Clean Data
- 2.1 Introduction to Clean Core
- 2.2 The Five Clean Core Guiding Principles
  - 2.2.1 Business Processes
  - 2.2.2 Extensibility
  - 2.2.3 Data
  - 2.2.4 Integrations
  - 2.2.5 Operations
- 2.3 How to Get to the Clean Core
- 2.4 Selective Data Transition as an Enabler for Clean Core
  - 2.4.1 Achieving a Clean Core Through Shell Creation
  - 2.4.2 Achieving Clean Data Through Selective Data Transition
- 2.5 SAP Services and Tools for Clean Core
  - 2.5.1 Clean Core Transformation
  - 2.5.2 Clean Core Discovery
  - 2.5.3 Clean Core Assessment
  - 2.5.4 Clean Core Strategy and Roadmap
  - 2.5.5 SDT Planning Workshop
  - 2.5.6 Data Quality Inspection
- 2.6 Summary
3 Strategic Scoping of Selective Data Transition
- 3.1 Digital Core Instance Strategy
- 3.2 Integration Strategy with Other SAP and Non-SAP Systems
- 3.3 Rollout Strategy
- 3.4 Historical Data in the Digital Core
- 3.5 Creating the Target System
  - 3.5.1 Target SAP S/4HANA Release
  - 3.5.2 Shell Creation and Conversion
  - 3.5.3 Mix and Match
- 3.6 Data Migration Approach
  - 3.6.1 Table-Based Migration
  - 3.6.2 API-Based Postings
  - 3.6.3 Approach Comparison
- 3.7 Selective Data Transition Scenarios
  - 3.7.1 Regular Selective Data Transition
  - 3.7.2 Lean Selective Data Transition
  - 3.7.3 Hybrid Selective Data Transition
- 3.8 Go-Live Date Considerations
- 3.9 Downtime Considerations
- 3.10 Choosing the Optimal Selective Data Transition Scenario
- 3.11 The Trade-Off Triangle
  - 3.11.1 Level of Transformation and Process Redesign
  - 3.11.2 Level of Selective Historical Data
  - 3.11.3 Time, Effort, and Cost of the Project
- 3.12 Complexity Drivers and Success Factors
- 3.13 Supporting Services from SAP
  - 3.13.1 Instance Strategy Service
  - 3.13.2 Integration Strategy Service
  - 3.13.3 Data Migration Architecture
- 3.14 Summary
4 System Consolidation Using Selective Data Transition
- 4.1 Assessment and Planning for System Consolidation Projects
  - 4.1.1 The Leading System Concept
  - 4.1.2 What Are the Challenges?
  - 4.1.3 The Consolidation Assessment
- 4.2 Consolidating SAP ERP Systems with SAP S/4HANA
  - 4.2.1 Determining the Leading System
  - 4.2.2 Creating the Shell
  - 4.2.3 Harmonizing the Shell
  - 4.2.4 Implementation of the Migration Stream
- 4.3 Consolidating Non-SAP Systems During Selective Data Transition Projects
  - 4.3.1 Challenges and Migration Approach
  - 4.3.2 Data Migration Tool
- 4.4 Consolidating into Live SAP S/4HANA System
  - 4.4.1 Running the Assessment
  - 4.4.2 Technical Data Conversion
- 4.5 Summary
5 Selective Data Transition Project Planning
- 5.1 SAP Activate Methodology
  - 5.1.1 Project Workstreams and Roles
  - 5.1.2 Selective Data Transition Project Phases and Key Activities
- 5.2 Project Responsibilities and Team Setup
- 5.3 SAP Readiness Check
  - 5.3.1 SAP Readiness Check for SAP S/4HANA Conversion
  - 5.3.2 Technical Properties
  - 5.3.3 Simplification Items and Compatibility Scope Analysis
  - 5.3.4 Add-On Compatibility and Active Business Functions
  - 5.3.5 SAP S/4HANA Sizing and Planned Downtime Calculator
  - 5.3.6 Custom Code Analysis
  - 5.3.7 Integration
  - 5.3.8 Customer-Vendor Integration Analysis
  - 5.3.9 Finance Data Quality
  - 5.3.10 Additional Sections
- 5.4 Data Analysis and Profiling
  - 5.4.1 SAP Readiness Check for SAP ERP Usage and Data Profiling
  - 5.4.2 SAP Business Transformation Center: Digital Blueprint
  - 5.4.3 SAP Signavio for Value Discovery and Open Items Cleansing
- 5.5 Preparations and Preprojects in the Source Systems
  - 5.5.1 Functional Changes and Preprojects
  - 5.5.2 Structural Transformations
  - 5.5.3 Technical Preprojects
  - 5.5.4 Data Preparation
- 5.6 Project Plan: Key Activities
- 5.7 Project Duration (Influencing Factors)
- 5.8 Business and Technical Downtime (Influencing Factors)
- 5.9 Project Landscape Requirements
- 5.10 Dual Maintenance (Retrofit)
- 5.11 SAP Services and Tools to Support
  - 5.11.1 SDT Planning Workshop
  - 5.11.2 Other Planning Services
- 5.12 Summary
6 Executing a Selective Data Transition Project
- 6.1 Target System Preparation
  - 6.1.1 Shell System Creation and Conversion
  - 6.1.2 Mix and Match
  - 6.1.3 Special Case: Target for Systems Consolidation
  - 6.1.4 Sizing of a Target System
- 6.2 Data Migration Design and Implementation
  - 6.2.1 Data Migration Design Workshops
  - 6.2.2 Selecting/Filtering Data
  - 6.2.3 Data Transformation
- 6.3 On-the-Fly Data Transformations
  - 6.3.1 Customer-Vendor Integration
  - 6.3.2 Account-to-Ledger
  - 6.3.3 Document Splitting
  - 6.3.4 Other Functional Transformations
- 6.4 Test Cycle Preparations
  - 6.4.1 Plan
  - 6.4.2 Systems Provisioning
  - 6.4.3 Authorizations
  - 6.4.4 Systems Data, Configuration, and Tools Preparations
  - 6.4.5 Value Mappings
  - 6.4.6 Backups and Preparations to the Load
- 6.5 Table-Based Data Migration and Conversion
  - 6.5.1 Table-Based Migration
  - 6.5.2 Conversion of the Data to the SAP S/4HANA Data Model
- 6.6 Migration via Postings
  - 6.6.1 Usage in Selective Data Transition
  - 6.6.2 Posting Tools
  - 6.6.3 Posting Process
  - 6.6.4 Stock Postings
  - 6.6.5 Finance Open Items Postings
- 6.7 Downtime Optimization
  - 6.7.1 Tuning the Migration
  - 6.7.2 Incremental Migrations
- 6.8 Data Validation and Testing
  - 6.8.1 Test Planning and Test Case Creation
  - 6.8.2 Unit Testing
  - 6.8.3 System Integration Testing
  - 6.8.4 User Acceptance Testing
  - 6.8.5 Downtime Validation
  - 6.8.6 Automated Data Validation
- 6.9 Dress Rehearsal and Productive Cutover
- 6.10 Defect Handling
- 6.11 Historical System Decommissioning
- 6.12 Supporting Services from SAP
- 6.13 Summary
7 Automated Data Validation
- 7.1 Data Validation Tools from SAP
- 7.2 Landscape Transformation Validation Framework Features
  - 7.2.1 Report Validation
  - 7.2.2 Table Comparison
  - 7.2.3 Text Reports and Files Comparison
  - 7.2.4 Transaction Codes
- 7.3 Deployment in a Selective Data Transition Project
  - 7.3.1 Deployment Modes
  - 7.3.2 Deployment Roles
  - 7.3.3 Deployment Activities
- 7.4 Evaluation Results
  - 7.4.1 Overview of Evaluation Results
  - 7.4.2 Result Categories for Table Comparison
  - 7.4.3 Examples for Report Evaluation Results
- 7.5 System Sizing for Landscape Transformation Validation Framework
- 7.6 Catalog of Standard Reports and Tables for Validation
- 7.7 Summary
8 Selective Data Transition for SAP Business Suite Solutions
- 8.1 Transition Options for Human Capital Management
- 8.2 Transition Options for SAP Business Warehouse
  - 8.2.1 SAP Business Warehouse Migration to SAP Business Data Cloud
  - 8.2.2 The SAP Business Warehouse Consolidation Challenge
- 8.3 Transition Options for SAP TM and SAP EWM
- 8.4 Summary
9 Real-World Use Cases and Lessons Learned
- 9.1 Media Production Example
  - 9.1.1 Business Requirements
  - 9.1.2 Solution Approach
  - 9.1.3 Lessons Learned
- 9.2 Government Agency
  - 9.2.1 Business Requirements
  - 9.2.2 Solution Approach
  - 9.2.3 Lessons Learned
- 9.3 Retail
  - 9.3.1 Business Requirements
  - 9.3.2 Solution Approach
  - 9.3.3 Lessons Learned
- 9.4 Manufacturing (Agricultural Chemicals)
  - 9.4.1 Business Requirements
  - 9.4.2 Solution Approach
  - 9.4.3 Lessons Learned
- 9.5 Consumer Goods
  - 9.5.1 Business Requirements
  - 9.5.2 Solution Approach
  - 9.5.3 Lessons Learned
- 9.6 Utilities
  - 9.6.1 Business Requirements
  - 9.6.2 Solution Approach
  - 9.6.3 Lessons Learned
- 9.7 Summary
10 Lean Selective Data Transition with SAP Business Transformation Center
- 10.1 Introduction to SAP Business Transformation Center
- 10.2 What Is Lean Selective Data Transition?
- 10.3 Decision Support with Transformation Approach Finder
- 10.4 Guided Transformation
- 10.5 Preparation Phase
- 10.6 Digital Blueprint and Guided Scoping
  - 10.6.1 Accelerated Scoping
  - 10.6.2 Scans for Company Code Selection
  - 10.6.3 Scans for Business Object Selection
  - 10.6.4 Scans for Custom Applications
  - 10.6.5 Scans for Time Slice
  - 10.6.6 Blueprint Sign-Off
- 10.7 Automated Transformation Execution
- 10.8 Cyclic Testing and Monitoring
  - 10.8.1 Four Phases of Guided Execution
  - 10.8.2 Next Steps After Data Migration
- 10.9 Validation with the Data Transformation Validation Tool
- 10.10 Project Roles for Implementing Lean Selective Data Transition
- 10.11 Summary
11 Selective Data Transition Engagement and Partner Community
- 11.1 How the Community Evolved
- 11.2 Community Members
  - 11.2.1 DMLT: SAP’s Consulting Organization
  - 11.2.2 cbs: Business Transformation with Selective Data Transition
  - 11.2.3 Natuvion: The Data Moving Company
  - 11.2.4 SNP Group: Software and Consulting for Complex Business Transformations
- 11.3 Community Outlook
- 11.4 Summary
12 Outlook and Conclusion
- 12.1 SAP’s Outlook: The Autonomous Enterprise
- 12.2 Outlook for Selective Data Transition
- 12.3 Outlook for Lean Selective Data Transition
- 12.4 Future Use Cases for Selective Data Transition
- 12.5 Summary
A References
B The Authors
Index

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Selective Data Transition to SAP S/4HANA

Name: Selective Data Transition to SAP S/4HANA
Brand: SAP
SKU: BOOK-SAPPRESS-EBOOK-2027-9781493228874
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Selective Data Transition to SAP S/4HANA

You'll learn about:

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Selective Data Transition to SAP S/4HANA

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