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List of figures and tables xiii
Foreword xv
Acknowledgements xvii
Introduction 1
PART ONE The big picture
1 Ann's data Tuesday 15
A day in the life 15
Data defined 18
Data everywhere 19
But all is not perfect! 21
Greasing the skids of commerce 22
Technology amplifies everything 24
Most important takeaways 24
Notes 25
2 The opportunity and the problem 27
The perfect storm 27
Regular people front and centre 29
Success stories confirm the potential 29
A yawning gap 32
Diagnosis 36
Summary 43
Most important takeaways 47
Notes 47
3 Building a better organization for data 53
Put regular people front and centre 54
Fat organizational pipes 59
Separate the management of data from the management of information technology 60
Eventually all change is top-down 60
New roles for data teams 62
Train to empower people and the company 64
Create a sea change step-by-step 64
Most important takeaways 66
Notes 66
PART TWO People
4 The data generation and provocateurs 71
Meet the data generation 71
Provocateurs take things further 78
Implications for leaders, managers and data teams 80
Most important takeaways 82
Notes 83
5 All roads lead through quality 85
When trust leaves the room 85
A course correction is desperately needed 90
Data quality is more complex than you might expect 91
Why data goes bad 93
A rush to automate 95
A better way 95
The business case for data quality 97
Many find this work transformational 98
Leadership, core data teams and embedded data managers required 98
Implications 99
Most important takeaways 100
Notes 100
6 Putting data to work 105
Regular people and the data science process 106
The big pleasures of small data 109
Make better decisions 112
Informationalize products and services 113
Exploit asymmetries and/or close them (finance professionals
and strategists) 114
Exploit proprietary data (product managers, strategists) 115
Strategic data science (senior leaders) 116
Treat customer privacy as a feature (privacy professionals) 117
Get data on the balance sheet (finance professionals) 118
Explore the many other ways to put data to work 119
Most important takeaways 120
Notes 120
PART THREE Data is a team sport
7 Fat organizational pipes 125
Regular people can’t solve all problems 125
The suffocating effects of silos 126
Lack of common language also makes working together more difficult 128
There are a few bad actors 130
Do away with silos? 131
The customer-supplier model 132
Data supply chain management 134
The data science bridge 136
Establishing and maintaining common language 138
Change management 140
Most important takeaways 143
Notes 143
8 Don't confuse apples and oranges 147
Great data programmes need great tech, but there are massive contradictions 147
Data and information technology and different sorts of assets 149
Information Technology departments are in tough spots 152
Digital transformers, transform yourselves 154
Most important takeaways 157
Notes 158
9 Dream big, but change the culture one project at a time 161
Senior management has stayed on the side-lines 161
Building a better organization for data 164
Putting data to work 169
Most important takeaways 173
Notes 174
10 The data teams companies need now 175
Clear management responsibility 175
Five factors guiding the design of data teams 176
Towards more effective data teams 179
Most important takeaways 189
Notes 189
Conclusion: Courage required 191
Resource Centre 1: Toolkit 197
Resource Centre 2; Curriculum for training regular people 223
Index 233

출판사 책소개

People and Data is an innovative exploration of the relationship between non-data professionals and data in an organization's success, and why it is only when they work together that a business can unlock its full potential.

This book explains how most companies are yet to take advantage of the value that data offers. Their structures and processes are unfit for data and their biggest mistake is that regular employees are not included in the data-driven effort. People and Data illustrates how to change this. It shows how and why improving data quality should be an organization's first priority, how to tackle the tough organizational issues, such as departmental silos, that get in the way and how to upskill the whole workforce to get the best out of the organization's data. It is a practical guide written by a global expert which explains how companies can put their data to work by building it into all aspects of the business including their structure, culture and workforce design. By infusing the whole organization with data in this way employees at any level can use insights from the data to improve business performance.

Full of practical tips and advice, People and Data includes a Resource Centre featuring a curriculum for training employees, and eight tools that will help companies to leverage their data to meet their business goals and upskill their employees so that everyone can benefit from the power of data. With important takeaways and real-world examples from organizations including AT&T and Morgan Stanley, this book is essential reading for all those wanting to allow their people and data to reach their full potential but are not sure where to start.



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People and data : uniting to transform your business 이용현황 표 - 등록번호, 청구기호, 권별정보, 자료실, 이용여부로 구성 되어있습니다.
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People and Data is an innovative exploration of the relationship between non-data professionals and data in an organization's success, and why it is only when they work together that a business can unlock its full potential.

This book explains how most companies are yet to take advantage of the value that data offers. Their structures and processes are unfit for data and their biggest mistake is that regular employees are not included in the data-driven effort. People and Data illustrates how to change this. It shows how and why improving data quality should be an organization's first priority, how to tackle the tough organizational issues, such as departmental silos, that get in the way and how to upskill the whole workforce to get the best out of the organization's data. It is a practical guide written by a global expert which explains how companies can put their data to work by building it into all aspects of the business including their structure, culture and workforce design. By infusing the whole organization with data in this way employees at any level can use insights from the data to improve business performance.

Full of practical tips and advice, People and Data includes a Resource Centre featuring a curriculum for training employees, and eight tools that will help companies to leverage their data to meet their business goals and upskill their employees so that everyone can benefit from the power of data. With important takeaways and real-world examples from organizations including AT&T and Morgan Stanley, this book is essential reading for all those wanting to allow their people and data to reach their full potential but are not sure where to start.

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