Table of Contents

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Foreword by Thomas Saueressig
15
Preface
17
Target Audience
17
How to Read This Book
17
How This Book Is Organized
18
Acknowledgments
20
1 Introduction
21
1.1 Current ERP Challenges
21
1.2 A New ERP Paradigm: Cloud ERP
25
1.2.1 SAP S/4HANA Cloud: The New ERP Concept
25
1.2.2 Composable Applications and Industry- and Scenario-Based Applications
26
1.3 SAP S/4HANA: Deployment Options
29
1.3.1 Introduction
29
1.3.2 Public Cloud
31
1.3.3 Private Cloud
32
1.3.4 Hybrid Cloud
32
1.4 SAP S/4HANA Cloud Use Cases and Business Value
33
1.4.1 Strategic Business Value
33
1.4.2 Operational and Financial Benefits
37
1.4.3 The New Digital Reality
40
1.5 SAP S/4HANA Cloud Solution Architecture
41
1.5.1 Cloud Qualities
41
1.5.2 Solution Architecture
43
1.5.3 Multitenancy and Zero Downtime
46
1.5.4 Scalability and Elasticity
48
1.6 Summary
50
2 The Intelligent Enterprise Suite
51
2.1 From the Monolithic ERP to the Intelligent Suite
51
2.1.1 Intelligent Enterprises
52
2.1.2 Starting Situation and Market Demands
53
2.1.3 Intelligent Enterprises as Integrated Enterprises
54
2.1.4 Suite Qualities
56
2.1.5 Further and Updated Guidance
59
2.2 End-to-End Business Processes
60
2.2.1 Strategic Significance for SAP S/4HANA Cloud
60
2.2.2 SAP Reference Business Architecture
61
2.2.3 Business Process-Driven Software Development at SAP
63
2.3 SAP Business Technology Platform
64
2.3.1 Platform Business Models, Platform Types, and SAP Business Technology Platform
65
2.3.2 SAP Business Technology Platform Capabilities
66
2.3.3 Continuous Technical Consolidation and Evolution
69
2.3.4 Development and Extension Options
70
2.3.5 Usage Model for Organizations and Partners
71
2.3.6 Partner and Organization Enablement
72
2.4 Summary
73
3 Intelligent Technologies
75
3.1 Situation Handling
76
3.1.1 Situation Handling: An Example
76
3.1.2 Proactive User Support
77
3.1.3 Tracking and Analysis
78
3.1.4 Intelligent Situation Automation and Machine Learning Concept
78
3.1.5 Configuration and Adaptation
80
3.2 Robotic Process Automation
80
3.2.1 Background: Architecture and Solution Components
80
3.2.2 Addressed Business Challenges and Business Value
82
3.2.3 SAP Best Practices Packages Providing Prebuilt Bots
83
3.3 Machine Learning and Predictive Analytics
84
3.3.1 Approaches to Machine Learning
86
3.3.2 Solution Architecture
89
3.4 Internet of Things
90
3.4.1 Main Services
90
3.4.2 Internet of Things-Enabled Business Processes in SAP S/4HANA Cloud
92
3.5 Intelligent Technologies: An Example
94
3.6 Summary
96
4 User Experience
97
4.1 SAP Fiori Design System
97
4.1.1 Introduction to SAP Fiori
97
4.1.2 SAP Fiori and SAP S/4HANA Cloud
98
4.1.3 Your Personal Entry Point: The SAP Fiori Launchpad
100
4.1.4 Useful Services Available Everywhere
101
4.1.5 Apps
104
4.1.6 Bringing Artificial Intelligence to the User Experience
108
4.2 Mobile User Experience
109
4.2.1 Mobile Web Experience of an Inventory Manager
110
4.2.2 Mobile Web Experience of an Internal Sales Representative
111
4.2.3 Native Mobile Apps
113
4.2.4 SAP SDK for iOS and SAP SDK for Android
115
4.3 User Interface Adaptation
115
4.3.1 Key User Adaptation
115
4.3.2 End User Personalization
119
4.4 Summary
122
5 Analytics
125
5.1 Embedded Analytics and Enterprise Analytics
125
5.1.1 Embedded Analytics Enabled by SAP Fiori and SAP Analytics Cloud
127
5.1.2 Enterprise Analytics Using SAP Analytics Solutions
130
5.2 Embedded Analytics in SAP S/4HANA Cloud
132
5.2.1 Business User Persona
132
5.2.2 Functions for Business Users
133
5.2.3 Analytics Specialist Persona
141
5.2.4 Custom Queries, Reports, and KPIs
143
5.3 Architecture and Integration with Other SAP Analytics Solutions
148
5.3.1 Analytics Architecture of SAP S/4HANA Cloud
149
5.3.2 ABAP Core Data Services Used for Analytics in SAP S/4HANA Cloud
152
5.3.3 Data Extraction to SAP BW/4HANA and SAP Data Warehouse Cloud
154
5.3.4 SAP Analytics Cloud
154
5.4 Summary
156
6 Business Capabilities
159
6.1 Sourcing and Procurement
159
6.1.1 Process Overview
159
6.1.2 Service Procurement
161
6.1.3 Sourcing
162
6.1.4 Operational Procurement
164
6.1.5 Machine Learning-Based Purchasing Functionality in SAP Business Technology Platform
167
6.1.6 Analytics in Sourcing and Procurement Functionality: Insight to Action
169
6.2 Manufacturing
172
6.2.1 Supported Production Modes
172
6.2.2 Demand-Driven Production Planning
174
6.2.3 Integrated Production Scheduling
175
6.2.4 Transparent Production Operations
176
6.2.5 Embedded Production Execution and Integrated Production Execution
179
6.2.6 Repetitive Manufacturing
181
6.2.7 Transparent Material Flow with Kanban
181
6.2.8 Outsourced Manufacturing
183
6.2.9 Quality Management
185
6.3 Logistics
186
6.3.1 Inventory Management
187
6.3.2 Logistics Execution
191
6.3.3 Integrated Warehouse Management
193
6.3.4 Order Promising: Available to Promise
195
6.3.5 Transportation Management
198
6.3.6 Handling Unit Management
198
6.3.7 Track and Trace: Batch and Serial Number Management
201
6.4 Sales
203
6.4.1 Product Vision and Direction
203
6.4.2 Quote to Order
205
6.4.3 Order and Contract Management
209
6.4.4 Customer Invoice Management
215
6.4.5 Customer Returns Management
216
6.4.6 Sales Analytics
218
6.5 Service
220
6.5.1 Introduction into Service
220
6.5.2 Types of Service
221
6.5.3 Service Order Management
224
6.5.4 Service Contract Management
229
6.5.5 In-House Repair
232
6.6 Maintenance Management
235
6.6.1 Intelligent Asset Management
236
6.6.2 Managing Asset Master Data
239
6.6.3 Plan-to-Optimize Assets
239
6.6.4 Operate-to-Maintain Assets
242
6.7 Finance
248
6.7.1 Universal Journal
249
6.7.2 Record-to-Report Process
250
6.7.3 Financial Planning and Analysis
254
6.7.4 Invoice-to-Pay and Invoice-to-Cash Processes
255
6.7.5 Treasury and Cash Management
257
6.8 Cross Capabilities
258
6.8.1 Advanced Variant Configuration
259
6.8.2 Billing and Revenue Management
264
6.8.3 Product Lifecycle Management
269
6.8.4 Enterprise Portfolio and Project Management
276
6.8.5 Environment, Health, and Safety
281
6.8.6 Product Compliance
282
6.9 Industry Variants
285
6.9.1 Professional Services
285
6.9.2 Discrete Manufacturing Industries
290
6.9.3 Process Manufacturing Industries
296
6.10 Industry Cloud
301
6.10.1 Industry Cloud Strategy
301
6.10.2 Key Concepts of SAP’s Industry Cloud
304
6.11 Globalization
306
6.11.1 Global Tax Management
307
6.11.2 Global Payments
312
6.12 Summary
314
7 Extensibility
315
7.1 In-App/Key User Extensibility
316
7.1.1 User Interface Flexibility
317
7.1.2 Field Extensibility
317
7.1.3 Business Logic Extensibility and Tracing
319
7.1.4 Custom Business Objects
320
7.1.5 Custom CDS Views
321
7.1.6 Lifecycle Management of In-App Extensions of SAP S/4HANA Cloud
322
7.1.7 Extensibility Templates
322
7.1.8 Exploring Extensibility Options
322
7.2 Side-by-Side Extensibility
323
7.2.1 Side-by-Side Extensions
323
7.2.2 SAP Extension Suite
326
7.2.3 Event-Driven Extensions
329
7.3 In-App Developer Extensibility
333
7.4 Localization Toolkit for SAP S/4HANA Cloud
334
7.4.1 Layers of a Localization
334
7.4.2 Localization Toolkit
335
7.4.3 Building a Community of Practice
336
7.5 Summary
336
8 Integration
337
8.1 Integration Strategy
337
8.1.1 Integration Rationale
337
8.1.2 Integration Best Practices
338
8.1.3 Cloud Integration Setup Procedure and Tooling
339
8.2 Application Programming Interfaces
340
8.2.1 SAP S/4HANA Cloud API Technologies
340
8.2.2 SAP S/4HANA API Request Process
341
8.2.3 Discovery of SAP S/4HANA Cloud APIs and Business Events
342
8.3 Master Data
343
8.3.1 Master Data Integration
343
8.3.2 Master Data Management
349
8.4 Summary
355
9 SAP S/4HANA Cloud Adoption and Lifecycle Management
357
9.1 Adoption Versus Implementation
357
9.2 SAP Activate Methodology
359
9.2.1 Key Concepts of SAP Activate
359
9.2.2 Components of SAP Activate
363
9.3 SAP S/4HANA Cloud System Landscape
367
9.4 Tool Support for SAP Activate
368
9.4.1 Business-Driven Configuration
369
9.4.2 SAP Cloud ALM
381
9.5 Phases of SAP Activate
390
9.5.1 Discover
390
9.5.2 Prepare
391
9.5.3 Explore
393
9.5.4 Realize
395
9.5.5 Deploy
398
9.5.6 Run
399
9.6 Identity and Access Management
400
9.6.1 Identity and Access Management and Authorizations
401
9.6.2 SAP Activate Methodology for Identity and Access Management
402
9.6.3 Phase Activities
403
9.6.4 SAP Cloud Identity Services
405
9.6.5 Integration
405
9.7 Data Migration
406
9.7.1 SAP S/4HANA Migration Cockpit
406
9.7.2 Data Migration Process and Project Considerations
409
9.8 Release Management
410
9.8.1 Release Upgrade Schedule
410
9.8.2 Plan and Perform Preparation Steps
411
9.8.3 Tools and Best Practices
412
9.8.4 Communication and Organizational Change Management Measures
413
9.9 Test Management
413
9.9.1 Testing SAP S/4HANA Cloud Implementations
414
9.9.2 Test Automation Tool for SAP S/4HANA Cloud
415
9.10 Embedded Learning and User Assistance
418
9.10.1 In-Application User Assistance
418
9.10.2 Embedded Enablement Content
419
9.10.3 “What’s New” Content
420
9.10.4 SAP Enable Now
421
9.11 Roadmap, Customer Influence, and Community
422
9.11.1 SAP Road Map Explorer
422
9.11.2 Customer Influence Opportunities
424
9.11.3 Experience Management in SAP S/4HANA Cloud with Qualtrics
426
9.11.4 SAP Community
429
9.12 SAP Services and Support Offerings
431
9.12.1 Kickstart for Cloud Onboarding
432
9.12.2 SAP Value Assurance for SAP S/4HANA Cloud
433
9.12.3 Quick-Start Service for SAP S/4HANA Cloud
433
9.12.4 Value Adoption Service for SAP S/4HANA Cloud
434
9.12.5 SAP Preferred Success
434
9.12.6 SAP Enterprise Support
435
9.13 Critical Success Factors
435
9.14 Summary
438
10 Conclusion
439
10.1 Additional Learning Resources
439
10.1.1 Learning Journey Guides
439
10.1.2 openSAP
440
10.1.3 SAP Learning Hub
441
10.1.4 SAP Global Certification
441
10.1.5 SAP Help Portal
442
10.2 Summary and Outlook
443
The Authors
445
Coauthors
447
Chapter 1
447
Chapter 2
447
Chapter 3
447
Chapter 4
447
Chapter 5
447
Chapter 6
448
Chapter 7
450
Chapter 8
450
Chapter 9
450
Chapter 10
451
Index
453