Читать книгу Fail Fast, Learn Faster - Randy Bean - Страница 2
ОглавлениеTable of Contents
1 COVER
5 FOREWORD
6 PREFACE
7 INTRODUCTION: FAIL FAST, LEARN FASTER Notes
8 1 A Little History of Big Data The Big Data Value Proposition The Implications of Big Data for Large Companies The Transformational Impact of Big Data The Business Value of Big Data Notes
9 2 Think Different: Becoming Data-Driven The Disruptive Power of Data The Challenge for Legacy Companies The Distinctive Characteristics of Data Building a Modern Data Environment at Fannie Mae Thinking Different in the Life Sciences: Creating a Platform for Real-World Evidence Building a Unified Data Platform at Anheuser-Busch (AB Inbev) Using Data to Address Natural Calamities at Munich Re Notes
10 3 Insight and Knowledge: Data, Science, and Facts Data Initiatives Successes and Failures Organizing for Data-Driven Analysis at Cigna Using Data for Clinical Trails: Driving a COVID-19 Cure at Parexel Building a World-Class Genetics Center at Regeneron Using Data to Reduce Healthcare Costs at the Health Transformation Alliance Notes
11 4 The State of Data in the Corporate World Today The 2021 Big Data and AI Executive Survey Findings A Summary of the Key Themes Data Investment Is Strong and Growing Companies Struggle to Become Data-Driven Cultural Obstacles Continue to Be the Greatest Impediment to Success The Chief Data Officer Role Continues to Evolve Companies Are Optimistic About the Future For Mainstream Companies, the Journey Continues Note
12 5 The Great Challenge: Establishing a Data Culture Fighting an Uphill Battle Understanding the Cultural Impediments How Companies Can Overcome Cultural Obstacles From Data-Rich to Data-Driven: Building Data Literacy at AmFam Cultural Transformation: Building a Data Culture Program at Travelers Insurance Creating an Enterprise Data Office at Nationwide Insurance Integrating the Human and Technology Dimensions of Data at Northern Trust Notes
13 6 The Rise of the Chief Data Officer Sexiest Job of the Twenty-First Century Emergence of the Chief Data Officer Rethinking the Role of Chief Data Officer Chief Data Officers Struggle to Make an Impact The Evolution of the Chief Data Officer Role The Future of the Chief Data Officer Role Shaping the Role of the CDO: MIT's Chief Data Officer Symposium Organizing the Chief Data Officer Function at Citizens Financial Group Chief Data Officer 4.0: Evolution of the Function at Scotia Bank Emphasizing Data Privacy and Data Ethics at Mastercard The U.S. Federal Government CDO Initiative Notes
14 7 Data Responsibility: A Word on Data Ethics Weapons of Math Destruction? Big Data for Social Good Initiatives The Emergence of Data Ethics Data for Social Good: Bloomberg's Data for Good Exchange Doing Good and Doing Well: Mastercard's Center for Inclusive Growth Data-Driven Responsible Investing at TIAA/Nuveen Notes
15 8 Data, Innovation, and Disruption The Ways Big Data Drives Disruption Alternative Visions of Data-Driven Disruption Data Disruption Through FinTech Allstate's Data-Driven Innovation Initiatives Another Perspective on Disruption and Change The Limitations of Data-Driven Disruption Notes
16 9 A Glimpse of the Future: Data-Driven AI Understanding Machine Learning Versus AI Delivering Business Value from AI The Capital One Story: A Pioneer in Data-Driven Management Invests in AI JP Morgan Stakes a Commitment on AI The AI Transformation Initiatives of TD Bank Charles Schwab's AI Transformation Commitment Notes
17 10 BecomingData-Driven: One Company's Odyssey The Foundation of Data-Driven Transformation The Ten Commandments of Data-Driven Business Transformation One Company's Odyssey: The Data-Driven Journey of American Express Notes
18 CONCLUSION: A DATA-DRIVEN JOURNEY Notes
21 INDEX
List of Tables
1 Chapter 4Table 4.1 NewVantage Partners' 2021 Executive Survey Participating Companies...
Guide
5 Foreword
6 Preface
7 Introduction: Fail Fast, Learn Faster
10 Conclusion: A Data-Driven Journey
13 Index
Pages
1 i
2 ii
3 iii
4 iv
5 vii
6 viii
7 ix
8 xiii
9 xiv
10 xv
11 xvi
12 xvii
13 xix
14 xx
15 xxi
16 xxiii
17 xxiv
18 xxv
19 xxvi
20 xxvii
21 xxviii
22 xxix
23 xxx
24 xxxi
25 1
26 2
27 3
28 4
29 5
30 6
31 7
32 8
33 9
34 10
35 11
36 12
37 13
38 14
39 15
40 17
41 18
42 19
43 20
44 21
45 22
46 23
47 24
48 25
49 26
50 27
51 28
52 29
53 30
54 31
55 32
56 33
57 34
58 35
59 36
60 37
61 39
62 40
63 41
64 42
65 43
66 44
67 45
68 46
69 47
70 48
71 49
72 50
73 51
74 52
75 53
76 54
77 55
78 57
79 58
80 59
81 60
82 61
83 62
84 63
85 64
86 65
87 66
88 67
89 68
90 69
91 70
92 71
93 72
94 73
95 74
96 75
97 76
98 77
99 78
100 79
101 81
102 82
103 83
104 84
105 85
106 86
107 87
108 88
109 89
110 90
111 91
112 92
113 93
114 94
115 95
116 96
117 97
118 98
119 99
120 100
121 101
122 103
123 104
124 105
125 106
126 107
127 108
128 109
129 110
130 111
131 112
132 113
133 114
134 115
135 116
136 117
137 118
138 119
139 120
140 121
141 122
142 123
143 124
144 125
145 126
146 127
147 128
148 129
149 131
150 132
151 133
152 134
153 135
154 136
155 137
156 138
157 139
158 140
159 141
160 142
161 143
162 144
163 145
164 146
165 147
166 148
167 149
168 150
169 151
170 152
171 153
172 154
173 155
174 156
175 157
176 158
177 159
178 160
179 161
180 162
181 163
182 164
183 165
184 166
185 167
186 169
187 170
188 171
189 172
190 173
191 174
192 175
193 176
194 177
195 178
196 179
197 180
198 181
199 182
200 183
201 184
202 185
203 186
204 187
205 188
206 189
207 191
208 192
209 193
210 194
211 195
212 196
213 197
214 198
215 199
216 200
217 201
218 202
219 203
220 204
221 205
222 206
223 207
224 208
225 209
226 210
227 211
228 212
229 213
230 214
231 215
232 216
233 217
234 218
235 219
236 220
237 221
238 222
239 223
240 224
241 225
242 226
243 227
244 229
245 230
246 231
247 232
248 233
249 234
250 235
251 236
252 237
253 238
254 239
255 240
