Inhaltsverzeichnis

Alle Kapitel aufklappen
Alle Kapitel zuklappen
Foreword by Hans Thalbauer
17
Foreword by Darwin Deano
19
Preface
21
Target Audience
22
How This Book Is Organized
23
Conclusion
26
Acknowledgments
26
PART I Digital Transformation and the Intelligent Enterprise
29
1 Introduction
31
1.1 Introduction to SAP Leonardo
31
1.1.1 Technology and Components
32
1.1.2 Intelligent Enterprise Components
35
1.1.3 Adoption Options
37
1.2 Benefits of SAP Leonardo
38
1.3 Digital Transformation
39
1.3.1 Digital Disruption
39
1.3.2 Business Process Innovation
41
1.3.3 Workplace Innovation
43
1.3.4 Business Usage
47
1.4 SAP Cloud Platform
48
1.4.1 Business Services
50
1.4.2 Platform Services
50
1.4.3 Data and Storage Services
51
1.4.4 SAP Edge Services
53
1.5 Associated Technology
55
1.5.1 Big Data
56
1.5.2 Data Intelligence
58
1.5.3 Data Analysis
59
1.5.4 Machine Learning
60
1.5.5 Blockchain
63
1.5.6 Internet of Things
66
1.6 Summary
72
2 Digital Transformation: Ecosystem and Approach
73
2.1 Intelligently Connected People
73
2.1.1 Collaboration
75
2.1.2 User Interfaces
78
2.1.3 Real-Time Analytics
84
2.2 Intelligently Connected Things
88
2.2.1 Connected Products
89
2.2.2 Connected Assets
90
2.2.3 Connected Fleet
91
2.2.4 Connected Infrastructure
92
2.2.5 Connected Markets
92
2.3 Intelligently Connected Processes
94
2.3.1 Integrated Processes
94
2.3.2 Process Automation
100
2.3.3 Microservices
103
2.4 Design Thinking
104
2.4.1 Design Thinking at SAP
104
2.4.2 Approach
109
2.4.3 Design-Led Development
119
2.5 Summary
121
PART II Technologies
123
3 Big Data
125
3.1 What Is Big Data?
125
3.2 Universal Data Management Platform
129
3.3 Big Data Operations Management
130
3.4 Big Data Services
135
3.5 Summary
137
4 Analytics
139
4.1 What Is Analytics?
140
4.2 Business Intelligence Portfolio
141
4.3 Planning and Analysis
145
4.3.1 SAP Analytics Cloud
146
4.3.2 SAP Digital Boardroom
147
4.3.3 SAP Business Planning and Consolidation
148
4.3.4 SAP Profitability and Performance Management
148
4.4 Predictive Analytics
149
4.5 Summary
152
5 Machine Learning
153
5.1 What Is Machine Learning?
153
5.2 Machine Learning Foundation
158
5.3 Embedded Machine Learning
163
5.3.1 Machine Learning with SAP Concur
165
5.3.2 Machine Learning with SAP SuccessFactors
166
5.3.3 Machine Learning with SAP Fieldglass
167
5.3.4 Machine Learning for Enterprise Applications
168
5.4 Robotic Process Automation
169
5.5 Summary
173
6 Data Intelligence
175
6.1 What Is Data Intelligence?
176
6.2 Data-Driven Business
177
6.3 Data Monetization Strategies
179
6.4 Data-as-a-Service
180
6.5 Summary
184
7 Blockchain
185
7.1 What Is Blockchain?
185
7.2 Enterprise Blockchain
190
7.2.1 Foundational Services
191
7.2.2 Blockchain Services
192
7.3 Blockchain for Industries
196
7.3.1 Consumer Products, Agribusiness, and Retail
197
7.3.2 High-Tech
198
7.3.3 Utilities and Energy
199
7.3.4 Life Sciences
200
7.4 Blockchain for Lines of Business
201
7.4.1 Procurement
201
7.4.2 Logistics
202
7.4.3 Finance
203
7.5 Summary
205
8 Internet of Things
207
8.1 What Is the Internet of Things?
208
8.2 Reference Architecture
211
8.2.1 Connecting Assets and Processing on the Edge
212
8.2.2 Data Processing and Storage
213
8.2.3 Analytics
214
8.2.4 Reusable Business Services
215
8.3 Applications
215
8.4 Platform and Foundation Services
218
8.5 Edge Computing
220
8.6 Application Enablement
221
8.7 Summary
223
PART III SAP Leonardo Business Processes
225
9 Products and Inventory
227
9.1 Digital Product Management
229
9.1.1 Compliant Product Lifecycle Management
229
9.1.2 Intelligent Enterprise Portfolio and Project Management
232
9.1.3 Product and Project Insights
236
9.2 Demand Management
242
9.2.1 Consensus Demand Planning
245
9.2.2 Sensing Short-Term Demand Patterns
251
9.2.3 Incorporating Demand Influencing Factors
254
9.3 Inventory Optimization
260
9.3.1 Accounting for Inherent Variabilities in the Supply Chain
261
9.3.2 Establishing Multistage Inventory Targets
263
9.3.3 Meeting Customer Service Levels
263
9.4 Connected Products
266
9.4.1 Network of Digital Twins
266
9.4.2 Connecting IoT Sensors to the Enterprise
267
9.4.3 Operationalizing Sensor Data and Establishing New Business Models
269
9.5 Summary
271
10 Manufacturing and Assets
273
10.1 Smart Manufacturing Optimization
273
10.1.1 Factory Automation
274
10.1.2 Building Blocks of a Smart Factory
276
10.2 Digital Manufacturing and Operations
277
10.2.1 Characteristics of a Smart Factory
278
10.2.2 Smart Shop Floor Overview
279
10.2.3 Shop Floor Control Tower
282
10.2.4 Material Availability
284
10.2.5 Floorplan View
285
10.2.6 Dynamic Routing
288
10.2.7 Production Planning and Detailed Scheduling
291
10.3 Digital Asset Network and Operations
292
10.4 Predictive Maintenance
297
10.4.1 On-Demand Spare Parts through 3D Printing
298
10.4.2 Building Blocks of Predictive Maintenance
299
10.4.3 Digital Dashboard
306
10.4.4 Machine Learning Service
309
10.5 Digital Twins
313
10.5.1 Digital Twins of a Physical Objects
313
10.5.2 Varieties of Digital Twins
315
10.5.3 Digital Twin Integration in SAP Leonardo
316
10.5.4 SAP Leonardo Digital Twin Portfolio
318
10.6 Summary
320
11 Transportation and Warehousing
321
11.1 Transportation Logistics
322
11.1.1 Digitalizing Transportation with Dynamic Planning
323
11.1.2 Logistics 4.0 and the Connected Fleet
325
11.1.3 Inbound Transportation
329
11.1.4 Outbound Transportation
330
11.1.5 SAP Leonardo Integration with SAP S/4HANA
330
11.1.6 SAP Transportation Management
331
11.1.7 SAP Leonardo for Transportation
335
11.2 Intralogistics
343
11.2.1 Digitizing the Yard and Warehouse with Dynamic Planning
343
11.2.2 Inbound and Outbound Processing
344
11.2.3 SAP Warehouse Insights
346
11.2.4 Yard and Hub Logistics
353
11.2.5 SAP Leonardo for Intralogistics
354
11.3 Logistics Network
362
11.3.1 Supply Chain Visibility
362
11.3.2 SAP Global Track and Trace
363
11.3.3 SAP Logistics Business Network
364
11.4 Summary
367
12 Finance
369
12.1 Financial Planning and Analysis
370
12.1.1 Budgeting and Forecasting
371
12.1.2 Planning and Predictive Finance
375
12.1.3 Dynamic Reporting
378
12.2 Financial Accounting
380
12.2.1 Accounts Receivable and Digital Automation
380
12.2.2 Accounts Payable and Digital Automation
384
12.3 Accounting and Financial Close
391
12.3.1 Reconciliation and Year-End Reporting
391
12.3.2 Continuous Soft Close
395
12.4 Financial Controls
397
12.4.1 Audit and Compliance Management
397
12.4.2 Fraud Management
400
12.4.3 Risk Management
402
12.5 Summary
404
13 Assorted Business Processes
405
13.1 Reimagined Solution Architecture
405
13.1.1 Architecting the Digital Core
406
13.1.2 Microservices
416
13.2 Human Resource Management
419
13.2.1 Intelligent HR Solutions
420
13.2.2 Examples and Use Cases
424
13.3 Sourcing and Procurement
427
13.3.1 Cognitive Procurement
428
13.3.2 Examples and Use Cases
432
13.4 Sales and Marketing
436
13.4.1 Sales and E-Commerce
437
13.4.2 Smart Campaigns
438
13.4.3 Examples and Use Cases
440
13.5 Summary
443
14 Digitization of Industries
445
14.1 Discrete Manufacturing Industry
446
14.1.1 Digital Innovation Use Cases
446
14.1.2 Business Examples
448
14.2 Process Industry
453
14.2.1 Digital Innovation Use Cases
454
14.2.2 Business Examples
455
14.3 Consumer Products and Retail Industries
458
14.3.1 Digital Innovation Uses Cases
459
14.3.2 Business Examples
460
14.4 Other Industries and Sectors
463
14.4.1 Digital Innovation Use Cases
463
14.4.2 Business Examples
465
14.5 Summary
468
15 Roadmap and Outlook
469
15.1 SAP Leonardo Technological Innovation Roadmap
469
15.2 SAP Leonardo Process Innovation Roadmap
471
15.3 SAP Leonardo IoT Roadmap
472
15.4 Summary
474
Appendices
475
A Future Cities
475
A.1 Smart Cities
476
A.2 Connected Communities
489
A.3 Smart Buildings
498
A.4 Summary
506
B The Authors
507
Index
509