Digital Transformation Building Intelligent Enterprises

Building Intelligent Enterprises by leveraging the emerging and next-generation technologies to accelerate the adoption of digital transformation

The speed of innovation and emerging IT technologies are changing at a very fast pace and enterprises are eager to join the digital revolution so they can stand above the competition and succeed as the enterprise of tomorrow. This book is an attempt to make the enterprise intelligent by providing the path to digital transformation and the adoption of new IT methods, tools and technologies.

This book has been organized to cover the following topics: Digital Transformation, Design Thinking, Agile, DevOps, Robotic Process Automation, Internet of Things, Artificial Intelligence, Machine Learning, Blockchain, Drones, Augmented and Virtual Reality, 3D Printing, Big Data, Analytics, Cloud Computing, APIs, and SAP Leonardo. No prior knowledge of any technical coding or language is necessary to understand the content of this book.

• End-to-end storyline to accelerate the enterprise’s digital transformation journey
• How an enterprise can stay relevant, compete, and perform in the digital economy
• How to leverage these technologies to build intelligent enterprises
• Understand and apply the emerging technologies across key business processes
• Industry-specific Use Cases for all technologies as a reference point to build the business case for implementation

The book is very well suited towards the C-Suite executives, both IT and business leaders, directors and managers, project managers, solution architects, and all professionals who have an interest and desire to keep up-to-date with the latest technological trends, looking for a career change, want to help enterprise adapt and onboard the digital roadmap, or have an agenda to digitize key processes within the enterprise to make it intelligent.

ANUP MAHESHWARI is an SAP S/4HANA Finance, Business and Digital Transformation thought leader. He has over 21 years of IT and business consulting experience at firms such as IBM, Deloitte, and Accenture. He is the author of Implementing SAP S/4HANA Finance. Anup received his Masters of Science from The George Washington University and is a Stanford Certified Project Manager and a PMI Certified Project Management Professional (PMP). Anup also has an Enterprise Architect Certificate from Carnegie Mellon University. He is a Chartered Financial Analyst, an MBA, and a Certified SAP S/4HANA Consultant.

Preface xi

About this Book xiii

Acknowledgments xix

Part I—Introduction 1

Chapter 1 Digital Transformation 3

Digital Transformation 3

Digital Transformation Impact 8

Value Drivers 9

Digital Implementation Methodology 10

Emerging Technology Heatmap 13

Emerging Digital Themes by Industry 15

Conclusion 26

Part II—Collaborative Methods and Tools 27

Chapter 2 Design Thinking 29

Design Thinking Overview 29

Design Thinking Methodology 31

Tools and Techniques 35

Use Cases 41

Conclusion 43

Chapter 3 Agile 45

Agile Overview 45

Agile Methodology 48

Agile Tools 49

Conclusion 51

Chapter 4 DevOps 53

DevOps Overview 53

DevOps Enterprise Maturity 56

DevOps Enablers 57

Adoption by Industry 59

Use Cases 62

Conclusion 63

Part III—Intelligent Technologies 65

Chapter 5 Robotic Process Automation 67

Robotic Process Automation (RPA) Overview 67

Automation Capabilities 69

Enterprise RPA Architecture 74

Enterprise RPA Model 76

Enterprise RPA Implementation Methodology 78

Potential Automation Opportunities 81

RPA Opportunities by Industry 82

RPA Opportunities by Function 89

Use Cases 96

Conclusion 98

Chapter 6 Internet of Things 99

Internet of Things Overview 99

Understanding IoT Architecture 105

IoT Implementation Methodology 119

New Era with Connected Devices 121

IoT Applications by Industry 129

Use Cases 135

Conclusion 139

Chapter 7 Artificial Intelligence 141

Artificial Intelligence (AI) Overview 141

AI Capabilities 147

Enterprise AI Architecture 154

Enterprise AI Implementation Methodology 157

Potential AI Opportunities 160

AI Opportunities by Industry 161

AI Opportunities by Functional Area 171

Use Cases 175

Conclusion 178

Chapter 8 Machine Learning 179

Machine Learning Overview 179

Machine Learning Algorithms 182

Enterprise Machine Learning Model 183

Machine Learning Implementation Methodology 184

Machine Learning Solutions by Industry 186

Use Cases 187

Conclusion 189

Chapter 9 Blockchain 191

Blockchain Overview 191

Understanding Blockchain Architecture 197

Smart Contracts in Blockchain 204

Blockchain Execution Roadmap 205

Blockchain Security 207

Challenges of Blockchain-enabled Transformation 209

Applications of Blockchain 209

Use Cases of Blockchain 211

Key Players 218

Conclusion 219

Chapter 10 Drones 221

Drones Overview 221

Drones as Data Collector 224

Risk Considerations 225

Drone Applications 226

Opportunities by Industry 227

Use Cases 232

Conclusion 233

Chapter 11 Virtual Reality 235

Augmented and Virtual Reality Overview 235

AR and VR in the Current Ecosystem 237

Understanding AR/VR Architecture 237

Platform 248

Security and Privacy 249

Opportunities by Industry 251

Use Cases 257

Conclusion 258

Chapter 12 3D Printing 259

3D Printing Overview 259

Methodology 262

Use Cases 263

Conclusion 265

Chapter 13 Big Data 267

Big Data Overview 267

Big Data Technology 273

Understanding Big Data Architecture 278

Big Data Opportunities by Industry 285

Use Cases 285

Conclusion 290

Chapter 14 Analytics 291

Analytics Overview 291

Analytics Components 294

Analytics Methodology 294

Analytics Techniques 296

Use Cases 301

Conclusion 303

Part IV—Digital Infrastructure 305

Chapter 15 Cloud Computing 307

Cloud Overview 307

Enterprise Cloud Transformation Methodology 319

Enterprise Cloud Migration Framework 322

Enterprise Strategy and Roadmap to Cloud 324

Enterprise Migration Path to Cloud 327

Key Cost Drivers 330

Enterprise Transformation to the Cloud 332

Enterprise Cloud Management and Optimization 336

Use Cases 339

Conclusion 342

Chapter 16 APIs 343

API Overview 343

API Architecture 345

API Business Strategy 347

API Life Cycle and Roadmap 349

Conclusion 352

Part V—Product Review 353

Chapter 17 SAP Leonardo 355

SAP S/4HANA ERP Overview 355

Understanding SAP Leonardo 356

SAP Leonardo Internet of Things 357

SAP Leonardo Machine Learning 362

SAP Leonardo Blockchain 366

SAP Leonardo Big Data 367

SAP Leonardo Data Intelligence 368

SAP Leonardo Analytics 368

SAP Leonardo Enterprise Engagement 369

Conclusion 371

About the Author 373

Index 375

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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.