| About the Authors |
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xi | |
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xiii | |
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xvii | |
| Preface |
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xix | |
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1 | (8) |
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1 | (1) |
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1 | (2) |
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1.3 Realising Data as an Opportunity |
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3 | (2) |
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1.4 Our Definition of Monetising Data |
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5 | (1) |
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1.5 Guidance on the Rest of the Book |
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6 | (3) |
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2 About Data and Data Science |
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9 | (20) |
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9 | (1) |
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2.2 Internal and External Sources of Data |
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9 | (4) |
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2.3 Scales of Measurement and Types of Data |
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13 | (4) |
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17 | (1) |
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17 | (3) |
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2.6 Importance of Information |
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20 | (1) |
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2.7 Experiments Yielding Data |
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21 | (2) |
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2.8 A Data-readiness Scale for Companies |
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23 | (4) |
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27 | (1) |
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2.10 Data Improvement Cycle |
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27 | (2) |
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3 Big Data Handling, Storage and Solutions |
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29 | (20) |
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29 | (1) |
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3.2 Big Data, Smart Data... |
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29 | (2) |
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31 | (2) |
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3.4 Operational Systems supporting Business Processes |
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33 | (2) |
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3.5 Analysis-based Information Systems |
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35 | (3) |
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3.6 Structured Data -- Data Warehouses |
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38 | (5) |
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3.7 Poly-structured (Unstructured) Data -- NoSQL Technologies |
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43 | (3) |
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3.8 Data Structures and Latency |
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46 | (1) |
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47 | (2) |
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4 Data Mining as a Key Technique for Monetisation |
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49 | (22) |
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49 | (1) |
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4.2 Population and Sample |
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49 | (1) |
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4.3 Supervised and Unsupervised Methods |
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50 | (2) |
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4.4 Knowledge-discovery Techniques |
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52 | (1) |
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53 | (1) |
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4.6 The Data Mining Process |
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54 | (17) |
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5 Background and Supporting Statistical Techniques |
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71 | (50) |
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71 | (1) |
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72 | (2) |
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5.3 Key Performance Indicators |
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74 | (1) |
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74 | (3) |
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5.5 Data Visualisation and Exploration of Data |
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77 | (12) |
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89 | (11) |
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5.7 Feature Selection and Reduction of Variables |
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100 | (5) |
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105 | (2) |
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5.9 Statistical Methods for Proving Model Quality and Generalisability and Tuning Models |
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107 | (14) |
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6 Data Analytics Methods for Monetisation |
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121 | (42) |
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121 | (2) |
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6.2 Predictive Modelling Techniques |
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123 | (18) |
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6.3 Pattern Detection Methods |
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141 | (14) |
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155 | (8) |
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7 Monetisation of Data and Business Issues: Overview |
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163 | (1) |
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163 | (1) |
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7.2 General Strategic Opportunities |
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164 | (2) |
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166 | (6) |
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172 | (8) |
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7.5 Data Leading to New Business Opportunities |
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180 | (4) |
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7.6 Information Brokering using Data |
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184 | (1) |
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7.7 Connectivity as a Strategic Opportunity |
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185 | (1) |
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7.8 Problem-solving Methodology |
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186 | (1) |
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8 How to Create Profit Out of Data |
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187 | (16) |
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187 | (4) |
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8.2 Business Models for Monetising Data |
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191 | (5) |
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196 | (1) |
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197 | (2) |
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199 | (2) |
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8.6 Connectivity as an Opportunity for Streamlining a Business |
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201 | (2) |
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9 Some Practicalities of Monetising Data |
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203 | (30) |
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203 | (1) |
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203 | (6) |
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9.3 Special focus on SMEs |
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209 | (5) |
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9.4 Special Focus on B2B Lead Generation |
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214 | (9) |
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9.5 Legal and Ethical Issues |
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223 | (8) |
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231 | (1) |
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232 | (1) |
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233 | (98) |
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10.1 Job Scheduling in Utilities |
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236 | (6) |
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242 | (4) |
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10.3 Online Sales or Mail Order |
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246 | (8) |
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10.4 Intelligent Profiling with Loyalty Card Schemes |
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254 | (8) |
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10.5 Social Media: A Mechanism to Collect and Use Contributor Data |
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262 | (5) |
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10.6 Making a Business out of Boring Statistics |
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267 | (4) |
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10.7 Social Media and Web Intelligence Services |
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271 | (4) |
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275 | (3) |
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278 | (3) |
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10.10 Industry 4.0: Metamodelling using Simulated Data |
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281 | (7) |
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10.11 Industry 4.0: Modelling Pricing Data in Manufacturing |
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288 | (4) |
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10.12 Monetising Data in an SME |
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292 | (5) |
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10.13 Making Sense of Public Finance and Other Data |
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297 | (2) |
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10.14 Benchmarking Who is the Best in the Market |
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299 | (3) |
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10.15 Change of Shopping Habits Part I |
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302 | (6) |
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10.16 Change of Shopping Habits Part II |
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308 | (3) |
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10.17 Change of Shopping Habits Part III |
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311 | (4) |
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10.18 Service Providers, Households and Facility Management |
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315 | (4) |
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10.19 Insurance, Healthcare and Risk Management |
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319 | (3) |
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10.20 Mobility and Connected Cars |
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322 | (4) |
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10.21 Production and Automation in Industry 4.0 |
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326 | (5) |
| Bibliography |
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331 | (10) |
| Glossary |
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341 | (16) |
| Index |
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357 | |