The Business of Data Commercial Opportunities and Social Challenges in a World Fuelled by Data 1st edition by Martin De Saulles ISBN 978-1138385665
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ISBN 13: 978-1138385665
Author:Martin De Saulles
This book is about the rise of data as a driver of innovation and economic growth. It charts the evolution of business data as a valuable resource and explores some of the key business, economic and social issues surrounding the data-driven revolution we are currently going through.
Readers will gain an understanding of the historical underpinnings of the data business and why the collection and use of data has been driven by commercial needs. Readers will also gain insights into the rise of the modern data-driven technology giants, their business models and the reasons for their success. Alongside this, some of the key social issues including privacy are considered and the challenges these pose to policymakers and regulators. Finally, the impact of pervasive computing and the Internet of Things (IoT) is explored in the context of the new sources of data that are being generated.
This book is useful for students and practitioners wanting to better understand the origins and drivers of the current technological revolution and the key role that data plays in innovation and business success.
The Business of Data; Commercial Opportunities and Social Challenges in a World Fuelled by Data 1st Table of contents:
1 INTRODUCTION
2 ORIGINS OF BUSINESS DATA
The rise of the printing press
Managerialism and record keeping
The business of financial and credit data
The rise of mass media and marketing
The origins of electronic communications
The computing age
The rise of the information economy
Data as the new oil
References
3 DATA GENERATION AND USE IN THE TWENTY-FIRST CENTURY: The rise of the new data monopolies
The origins of the internet and the World Wide Web
Internet innovation wave 1: 1994–2000
Internet innovation wave 2: 2000–2007
Internet innovation wave 3: 2007–2018
The monetisation of the Web
The Google story
The Facebook story
The Amazon story
The Apple story
Data strategy models
References
4 EMERGING BUSINESS MODELS OF DATA-DRIVEN COMPANIES
Why business models matter
Data-driven business models
The economics of data
Emerging data-driven business models
References
5 CHALLENGES FOR POLICYMAKERS AND LAW MAKERS: Privacy in a world of data
The need for regulation
The history of regulation
Current regulatory models
Limits of regulation
Notable recent cases
Recent rulings and proposals
The future of data regulation
References
6 PERVASIVE COMPUTING AND DATA FUTURES
Pervasive computing and the Internet of Things
The IoT at work
The IoT at home
The IoT in our cities
Traffic congestion
Air pollution
Public transport
The quantified self
Opportunities for business
Challenges for business
References
7 CONCLUSION
References
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Martin De Saulles,The Business,Commercial Opportunities
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