Building an Effective IoT Ecosystem for Your Business (eBook)

Dedication 5
Foreword 6
Acknowledgments 7
Contents 8
Chapter 1: Building an IoT Ecosystem Framework 15
1.1 IoT Ecosystem Development Framework 16
1.1.1 Smart Connected Things 16
1.1.2 Aggregate and Enrich: Gateway 18
1.1.3 Network Services 19
1.1.4 Device Management 21
1.1.5 Data Routing and Real-Time Analysis 22
1.1.6 IoT Data Platform 24
1.1.7 Data Service Platform 25
1.1.8 Analytics 27
1.1.9 Security, Identity, and Privacy Management 29
1.1.10 Delivery 31
1.1.11 Business Support 32
1.2 IoT Partnering Strategy 32
1.3 Summary 33
References 33
Chapter 2: Making Devices Smart 35
2.1 Defining a Smart Device 36
2.2 Common Hardware Components 36
2.2.1 Processing Units 36
2.2.2 Storage 38
2.2.3 Powering Smart Devices 39
2.2.4 Sensors 39
2.2.5 Outputs 40
2.3 Edge Computing 41
2.3.1 Frameworks for Edge Computing 41
2.4 Making Device Secure 41
2.4.1 Secure Boot 42
2.4.2 Secure Software Download 43
2.4.3 Secure Software Update 43
2.5 Different Communication Techniques for Devices 44
2.6 Building Communication Capabilities in Devices 46
2.6.1 Making Devices Network with Other Devices 47
2.7 Summary 48
References 49
Chapter 3: Creating Smart Gateway 51
3.1 Hardware Components of a Gateway 52
3.2 Software Components of a Gateway 53
3.2.1 Core Software Services of a Gateway 54
3.3 Types of Gateways and Deployment Topologies 56
3.3.1 Software Update of the Gateway 57
3.3.2 Registration of a Gateway to Cloud Service 58
3.3.2.1 Common Messaging Patterns 59
3.4 Summary 60
References 60
Chapter 4: Building Network Services 62
4.1 Popular Communication Protocols 63
4.2 Infrastructure Layer Protocols 63
4.2.1 IEEE 802.15.4 63
4.2.2 6LoWPAN 64
4.3 Application Layer Protocols for IoT 66
4.3.1 Publish and Subscribe Pattern 66
4.3.2 MQTT 67
4.3.3 AMQP (Advanced Message Queuing Protocol) 68
4.3.4 CoAP 69
4.4 Choosing the Optimal Communication Protocols for Your IoT Devices and Ecosystem 70
4.5 Interoperability Among Multiple Protocols 71
4.6 Handling Multi-Carrier Situation 71
4.7 Monitoring and Optimizing Network Performance 72
4.8 Summary 73
References 73
Chapter 5: Managing Devices 75
5.1 Provisioning and Authentication 75
5.2 Registration 76
5.2.1 Device Manifesto 77
5.2.2 Gateway Registration 77
5.2.3 Claiming Device 78
5.3 Configuration Management 80
5.4 Real-Time Monitoring and Management 82
5.5 Developer Support 83
5.6 Summary 83
References 84
Chapter 6: Performing Data Routing and Real-Time Analysis 86
6.1 Data Acquisition Strategy for Connected Products 87
6.2 Introduction to Stream Processing with IoT Relevant Use Cases 88
6.3 System Design Pattern for Stream Processing 91
6.3.1 Lambda vs. Kappa Architecture 91
6.3.2 Stream Processing Systems 92
6.3.3 Stream Processing Framework 94
6.4 Rule-Based Complex Event Processing 97
6.4.1 Common Techniques for Identifying Meaningful Events 99
6.5 Summary 103
References 104
Chapter 7: Constructing Data Service Platform 105
7.1 Differences in Data Platform Between Traditional Enterprise Application Systems and IoT Ecosystems 107
7.1.1 Enterprise Data Warehouse 108
7.1.2 Data Lake 108
7.2 Introducing IoT Data Management and Processing Technologies 111
7.2.1 Storage Layer 111
7.2.1.1 Processing Layer 113
7.2.2 Information Management Layer 113
7.2.3 Data Access and System Management Layer 113
7.2.4 Data Acquisition: Transformation, Ingress & Egress Tools and Services
7.2.4.1 File-Based Batch Data Ingestion 114
7.2.4.2 Data Flow-Based Multi-purpose Data Ingestion 115
Other Data Ingestion Tools 119
Sqoop 119
7.3 Storage and Indexing 119
7.3.1 Example: Data Models for an IoT-Enabled Field Service Applications 121
7.4 Unified IoT Data Management and Processing 122
7.4.1 Real-Time vs. Batch Processing 123
7.4.2 Batch Processing Framework 124
7.4.3 Real-Time Processing Frameworks 124
7.5 Data Services 125
7.5.1 Importance of Master Data Service 126
7.5.2 Managing Time Series and Common Operations 127
7.5.3 Modeling and Managing Metadata 129
7.6 Monitoring and Managing Data Platform 130
7.7 Summary 130
References 130
Chapter 8: Performing Analytics 132
8.1 Different Types of Data and Analytic Approaches 133
8.1.1 Qualitative vs. Quantitative 133
8.1.2 Descriptive vs. Predictive vs. Prescriptive 133
8.2 Example of Predictive Maintenance in Service Industry 135
8.2.1 Data Gathering and Feature Engineering 136
8.2.2 Develop a Failure Prediction Model 138
8.2.3 Data Requirements to Build Reliable Models 141
8.2.4 Improving Models and Data Challenges 141
8.2.5 Merging Domain and Data Context for Building Powerful Analytics 143
8.3 Understanding Why Different Analytical Techniques Are Required 143
8.4 Building Your Analytical Platform 145
8.4.1 Tools and Programming 146
8.5 Maintaining Your Analytical Effectiveness 147
8.6 Summary 148
References 148
Chapter 9: Closing the Loop for Value Capture 150
9.1 Understanding the Needs of an Effective Delivery Ecosystem 151
9.2 Defining a Framework for Business Support Ecosystem 152
9.3 Delivering Customer Success 154
9.4 Selecting Your Tools and Target Systems 155
9.5 Distributing Data Products Electronically 156
9.5.1 Demonstrating Value of Current Offerings 156
9.5.2 Positioning New Offerings 157
9.5.3 Implementing Monetization Infrastructure 157
9.6 Creating Systems for Your Channel Partners to Transact Business 158
9.7 Integrating with Your Enterprise IT Systems Effectively 160
9.8 Engaging Your Stakeholders Through Reporting 161
9.9 Summary 162
References 163
Chapter 10: Dealing with Security, Privacy, Access Control, and Compliance 164
10.1 Introduction 164
10.2 Understanding the Threat Vectors in the World of IoT 165
10.3 Learning About the Various Industry Standards and Available Resources 167
10.4 Recognizing Data Privacy and Ownership Concerns 169
10.4.1 Data Ownership 169
10.4.2 Rights Around Derivative Use of Data 170
10.4.3 Dynamic Decision Rights 170
10.4.4 Consumer Awareness 170
10.4.5 Privacy Rights 170
10.4.6 De-aggregation Standards for Data Privacy 171
10.4.7 Liability 171
10.4.8 Reliability and Accuracy Standards 171
10.4.9 Trustworthiness 172
10.5 Understanding Popular and Modern Technologies and Standards 172
10.5.1 Encryption 172
10.5.2 Malware Analysis 173
10.5.3 Intrusion Detection Systems 174
10.5.4 Blockchain 175
10.5.5 Context-aware Behavior Analysis 176
10.6 Implementing Security Policies and Practices 177
10.7 Securing Data and Insights 179
10.8 Building Risk Management and Compliance Program 180
10.9 Auditing Security and Privacy Effectiveness 182
10.10 Managing Attacks and Communicating Effectively 183
10.11 Summary 184
References 184
Chapter 11: Strengthening Your Technology and Partner Ecosystem 186
11.1 Introduction 186
11.2 Defining 3-Dimensional Capability Model 188
11.3 Deciding Where, When and Why Partners Are Required 190
11.3.1 Partner Classification 191
11.3.2 Engagement Drivers 192
11.3.3 Engagement Models 193
11.4 Evaluating Technologies 195
11.5 Building a Partner Selection Framework 197
11.6 Engaging with and Onboarding Partners 199
11.7 Investing in Relationships 203
11.8 Driving Change in Your Organization to Work Effectively with Partners 204
11.9 Keeping Your Options Open: Elements of Design in Technology and Services 205
11.10 Monitoring Partner Effectiveness 206
11.11 Summary 207
References 208
Chapter 12: Developing and Improving User Experiences 209
12.1 Introduction 209
12.2 Understanding How IoT Drives Design and User Experience Differently 210
12.3 Recognizing the Psychology Behind User Expectations 214
12.3.1 Drivers for User Expectations 214
12.3.2 User Research 215
12.4 Implementing Converged Customer Experience 219
12.5 Leveraging User Experience and Design to Drive Differentiated Growth 221
12.6 Building Design Language System 222
12.6.1 Definition 222
12.6.2 Components of Design Language Systems 223
12.6.3 Methodology 225
12.6.4 Socialization and Review Process 227
12.6.5 IP Review for Design Language 228
12.7 Training Your Organization on Design Language 229
12.8 Maintaining Your Design Language System 231
12.9 Summary 231
References 232
Chapter 13: Marketing Your IoT Initiatives 233
13.1 Understanding the Significance of Marketing for IoT Initiatives 234
13.2 Introducing the Product-Patent-Publicity Framework 236
13.2.1 Products 237
13.2.2 Patents 238
13.2.3 Publicity 239
13.3 Integrating IoT Marketing Efforts with Your Overall Organizational Marketing Program 240
13.4 Integrating Marketing into Your Product Strategy and Design 241
13.5 Managing Social Media Marketing Effectively 242
13.6 Summary 245
References 246
Chapter 14: Monetizing Your IoT Efforts 247
14.1 Introduction 247
14.2 Understanding How IoT Creates New Value and Business Models 248
14.3 Adapting to Unanticipated Opportunities 253
14.4 Developing a Framework for Determining Value of Data Insights and Outcome 255
14.5 Organizing Your Business Differently to Leverage New Business Opportunities 258
14.6 Planning to Safeguard Your Current Economic Models While Pursuing New Business Models 266
14.7 Summary 268
References 268
Chapter 15: Building a Winning Team 269
15.1 Identifying What Is Different About IoT Businesses 270
15.1.1 Product Development and Support 270
15.1.2 Product Management and Marketing 271
15.2 Understanding the Different Capabilities Required for Offering Development 271
15.2.1 UX Researcher 272
15.2.2 UX Designer 272
15.2.3 Industrial Designer 273
15.2.4 Technology Researcher 273
15.2.5 Data Scientist 274
15.2.6 Platform Developers 275
15.2.7 Application Developers 276
15.2.8 Hardware Engineers 277
15.2.9 Compliance Specialists 277
15.3 Organizing Teams for Success 278
15.3.1 Functions 278
15.3.2 Review Cadence 280
15.3.3 Leadership Attributes 280
15.4 Recruiting the Best Talent 281
15.5 Motivating the Team 283
15.6 Tapping into the Educational Ecosystem 285
15.7 Summary 286
References 286