Inhaltsverzeichnis

Alle Kapitel aufklappen
Alle Kapitel zuklappen
Foreword by Tom Hansen
15
Preface
17
Who This Book Is For
17
How This Book Is Organized
18
Acknowledgments
19
Conclusion
20
1 Introduction to SAP S/4HANA Transition Scenarios
21
1.1 Understanding SAP’s Strategy and Value Drivers for Transformation
21
1.2 SAP S/4HANA Transition Options
24
1.2.1 Brownfield Transition
24
1.2.2 Greenfield Transition
27
1.2.3 Selective Data Transition
28
1.3 Transition Net: The Five Big Questions
31
1.4 Use Cases for Selective Data Transition
34
1.4.1 SAP ERP to SAP S/4HANA Transition
36
1.4.2 System Consolidation, Mergers and Acquisitions, and Divestiture
37
1.4.3 Selective Migration Within SAP S/4HANA
38
1.5 On-the-Fly Transformations with SAP S/4HANA
38
1.6 Planning Services and Tools from SAP
40
1.7 Summary
41
2 Clean Core and the Need for Clean Data
43
2.1 Introduction to Clean Core
43
2.2 The Five Clean Core Guiding Principles
45
2.2.1 Business Processes
45
2.2.2 Extensibility
47
2.2.3 Data
48
2.2.4 Integrations
49
2.2.5 Operations
50
2.3 How to Get to the Clean Core
52
2.4 Selective Data Transition as an Enabler for Clean Core
56
2.4.1 Achieving a Clean Core Through Shell Creation
56
2.4.2 Achieving Clean Data Through Selective Data Transition
57
2.5 SAP Services and Tools for Clean Core
60
2.5.1 Clean Core Transformation
60
2.5.2 Clean Core Discovery
60
2.5.3 Clean Core Assessment
61
2.5.4 Clean Core Strategy and Roadmap
61
2.5.5 SDT Planning Workshop
62
2.5.6 Data Quality Inspection
62
2.6 Summary
63
3 Strategic Scoping of Selective Data Transition
65
3.1 Digital Core Instance Strategy
65
3.2 Integration Strategy with Other SAP and Non-SAP Systems
68
3.3 Rollout Strategy
70
3.4 Historical Data in the Digital Core
73
3.5 Creating the Target System
75
3.5.1 Target SAP S/4HANA Release
75
3.5.2 Shell Creation and Conversion
76
3.5.3 Mix and Match
79
3.6 Data Migration Approach
81
3.6.1 Table-Based Migration
81
3.6.2 API-Based Postings
83
3.6.3 Approach Comparison
84
3.7 Selective Data Transition Scenarios
86
3.7.1 Regular Selective Data Transition
86
3.7.2 Lean Selective Data Transition
89
3.7.3 Hybrid Selective Data Transition
90
3.8 Go-Live Date Considerations
94
3.9 Downtime Considerations
96
3.10 Choosing the Optimal Selective Data Transition Scenario
97
3.11 The Trade-Off Triangle
100
3.11.1 Level of Transformation and Process Redesign
100
3.11.2 Level of Selective Historical Data
101
3.11.3 Time, Effort, and Cost of the Project
102
3.12 Complexity Drivers and Success Factors
102
3.13 Supporting Services from SAP
105
3.13.1 Instance Strategy Service
106
3.13.2 Integration Strategy Service
106
3.13.3 Data Migration Architecture
107
3.14 Summary
107
4 System Consolidation Using Selective Data Transition
109
4.1 Assessment and Planning for System Consolidation Projects
110
4.1.1 The Leading System Concept
111
4.1.2 What Are the Challenges?
111
4.1.3 The Consolidation Assessment
113
4.2 Consolidating SAP ERP Systems with SAP S/4HANA
118
4.2.1 Determining the Leading System
118
4.2.2 Creating the Shell
119
4.2.3 Harmonizing the Shell
119
4.2.4 Implementation of the Migration Stream
126
4.3 Consolidating Non-SAP Systems During Selective Data Transition Projects
133
4.3.1 Challenges and Migration Approach
134
4.3.2 Data Migration Tool
136
4.4 Consolidating into Live SAP S/4HANA System
137
4.4.1 Running the Assessment
137
4.4.2 Technical Data Conversion
139
4.5 Summary
140
5 Selective Data Transition Project Planning
141
5.1 SAP Activate Methodology
141
5.1.1 Project Workstreams and Roles
144
5.1.2 Selective Data Transition Project Phases and Key Activities
148
5.2 Project Responsibilities and Team Setup
152
5.3 SAP Readiness Check
158
5.3.1 SAP Readiness Check for SAP S/4HANA Conversion
159
5.3.2 Technical Properties
160
5.3.3 Simplification Items and Compatibility Scope Analysis
161
5.3.4 Add-On Compatibility and Active Business Functions
163
5.3.5 SAP S/4HANA Sizing and Planned Downtime Calculator
164
5.3.6 Custom Code Analysis
166
5.3.7 Integration
167
5.3.8 Customer-Vendor Integration Analysis
168
5.3.9 Finance Data Quality
169
5.3.10 Additional Sections
170
5.4 Data Analysis and Profiling
170
5.4.1 SAP Readiness Check for SAP ERP Usage and Data Profiling
171
5.4.2 SAP Business Transformation Center: Digital Blueprint
174
5.4.3 SAP Signavio for Value Discovery and Open Items Cleansing
177
5.5 Preparations and Preprojects in the Source Systems
179
5.5.1 Functional Changes and Preprojects
179
5.5.2 Structural Transformations
184
5.5.3 Technical Preprojects
185
5.5.4 Data Preparation
189
5.6 Project Plan: Key Activities
196
5.7 Project Duration (Influencing Factors)
201
5.8 Business and Technical Downtime (Influencing Factors)
203
5.9 Project Landscape Requirements
206
5.10 Dual Maintenance (Retrofit)
210
5.11 SAP Services and Tools to Support
211
5.11.1 SDT Planning Workshop
211
5.11.2 Other Planning Services
213
5.12 Summary
213
6 Executing a Selective Data Transition Project
215
6.1 Target System Preparation
216
6.1.1 Shell System Creation and Conversion
216
6.1.2 Mix and Match
223
6.1.3 Special Case: Target for Systems Consolidation
225
6.1.4 Sizing of a Target System
226
6.2 Data Migration Design and Implementation
228
6.2.1 Data Migration Design Workshops
229
6.2.2 Selecting/Filtering Data
231
6.2.3 Data Transformation
236
6.3 On-the-Fly Data Transformations
239
6.3.1 Customer-Vendor Integration
239
6.3.2 Account-to-Ledger
241
6.3.3 Document Splitting
244
6.3.4 Other Functional Transformations
246
6.4 Test Cycle Preparations
247
6.4.1 Plan
247
6.4.2 Systems Provisioning
247
6.4.3 Authorizations
248
6.4.4 Systems Data, Configuration, and Tools Preparations
249
6.4.5 Value Mappings
250
6.4.6 Backups and Preparations to the Load
250
6.5 Table-Based Data Migration and Conversion
250
6.5.1 Table-Based Migration
250
6.5.2 Conversion of the Data to the SAP S/4HANA Data Model
252
6.6 Migration via Postings
260
6.6.1 Usage in Selective Data Transition
261
6.6.2 Posting Tools
261
6.6.3 Posting Process
263
6.6.4 Stock Postings
264
6.6.5 Finance Open Items Postings
266
6.7 Downtime Optimization
269
6.7.1 Tuning the Migration
271
6.7.2 Incremental Migrations
272
6.8 Data Validation and Testing
276
6.8.1 Test Planning and Test Case Creation
276
6.8.2 Unit Testing
277
6.8.3 System Integration Testing
277
6.8.4 User Acceptance Testing
278
6.8.5 Downtime Validation
278
6.8.6 Automated Data Validation
279
6.9 Dress Rehearsal and Productive Cutover
279
6.10 Defect Handling
280
6.11 Historical System Decommissioning
282
6.12 Supporting Services from SAP
283
6.13 Summary
285
7 Automated Data Validation
287
7.1 Data Validation Tools from SAP
288
7.2 Landscape Transformation Validation Framework Features
289
7.2.1 Report Validation
290
7.2.2 Table Comparison
291
7.2.3 Text Reports and Files Comparison
292
7.2.4 Transaction Codes
293
7.3 Deployment in a Selective Data Transition Project
294
7.3.1 Deployment Modes
294
7.3.2 Deployment Roles
296
7.3.3 Deployment Activities
297
7.4 Evaluation Results
302
7.4.1 Overview of Evaluation Results
302
7.4.2 Result Categories for Table Comparison
303
7.4.3 Examples for Report Evaluation Results
305
7.5 System Sizing for Landscape Transformation Validation Framework
307
7.6 Catalog of Standard Reports and Tables for Validation
309
7.7 Summary
318
8 Selective Data Transition for SAP Business Suite Solutions
321
8.1 Transition Options for Human Capital Management
321
8.2 Transition Options for SAP Business Warehouse
327
8.2.1 SAP Business Warehouse Migration to SAP Business Data Cloud
328
8.2.2 The SAP Business Warehouse Consolidation Challenge
331
8.3 Transition Options for SAP TM and SAP EWM
333
8.4 Summary
337
9 Real-World Use Cases and Lessons Learned
339
9.1 Media Production Example
339
9.1.1 Business Requirements
339
9.1.2 Solution Approach
340
9.1.3 Lessons Learned
343
9.2 Government Agency
344
9.2.1 Business Requirements
344
9.2.2 Solution Approach
344
9.2.3 Lessons Learned
345
9.3 Retail
346
9.3.1 Business Requirements
346
9.3.2 Solution Approach
346
9.3.3 Lessons Learned
348
9.4 Manufacturing (Agricultural Chemicals)
349
9.4.1 Business Requirements
349
9.4.2 Solution Approach
350
9.4.3 Lessons Learned
351
9.5 Consumer Goods
352
9.5.1 Business Requirements
353
9.5.2 Solution Approach
353
9.5.3 Lessons Learned
357
9.6 Utilities
358
9.6.1 Business Requirements
358
9.6.2 Solution Approach
358
9.6.3 Lessons Learned
363
9.7 Summary
363
10 Lean Selective Data Transition with SAP Business Transformation Center
365
10.1 Introduction to SAP Business Transformation Center
365
10.2 What Is Lean Selective Data Transition?
367
10.3 Decision Support with Transformation Approach Finder
370
10.4 Guided Transformation
372
10.5 Preparation Phase
373
10.6 Digital Blueprint and Guided Scoping
376
10.6.1 Accelerated Scoping
376
10.6.2 Scans for Company Code Selection
377
10.6.3 Scans for Business Object Selection
379
10.6.4 Scans for Custom Applications
380
10.6.5 Scans for Time Slice
381
10.6.6 Blueprint Sign-Off
383
10.7 Automated Transformation Execution
383
10.8 Cyclic Testing and Monitoring
386
10.8.1 Four Phases of Guided Execution
387
10.8.2 Next Steps After Data Migration
391
10.9 Validation with the Data Transformation Validation Tool
392
10.10 Project Roles for Implementing Lean Selective Data Transition
393
10.11 Summary
394
11 Selective Data Transition Engagement and Partner Community
395
11.1 How the Community Evolved
396
11.2 Community Members
397
11.2.1 DMLT: SAP’s Consulting Organization
398
11.2.2 cbs: Business Transformation with Selective Data Transition
399
11.2.3 Natuvion: The Data Moving Company
401
11.2.4 SNP Group: Software and Consulting for Complex Business Transformations
403
11.3 Community Outlook
405
11.4 Summary
407
12 Outlook and Conclusion
409
12.1 SAP’s Outlook: The Autonomous Enterprise
409
12.2 Outlook for Selective Data Transition
412
12.3 Outlook for Lean Selective Data Transition
414
12.4 Future Use Cases for Selective Data Transition
414
12.5 Summary
416
A References
419
B The Authors
425
Index
427