Data-ism

图书信息

作者	Lohr, Steve
出版社	HarperBusiness
ISBN	9780062226839
出版时间	2015-03-01
字数	36.7万
分类	HarperBusiness,进口书,外文原版书,经管,金融

读书简介

By one estimate, 90 percent of all of the data in history was created in the last two years. In 2014, International Data Corporation calculated the data universe at 4.4 zettabytes, or 4.4 trillion gigabytes. That much information, in volume, could fill enough slender iPad Air tablets to create a stack two-thirds of the way to the moon. Now, that's Big Data.Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. The vital raw material of today's information economy is data.In Data-ism, New York Times reporter Steve Lohr explains how big-data technology is ushering in a revolution in proportions that promise to be the basis of the next wave of efficiency and innovation across the economy. But more is at work here than technology. Big data is also the vehicle for a point of view, or philosophy, about how decisions will be and perhaps should be made in the future. Lohr investigates the benefits of data while also examining its dark side. Data-ism is about this next phase, in which vast Internet-scale data sets are used for discovery and prediction in virtually every field. It shows how this new revolution will change decision making by relying more on data and analysis, and less on intuition and experience and transform the nature of leadership and management. Focusing on young entrepreneurs at the forefront of data science as well as on giant companies such as IBM that are making big bets on data science for the future of their businesses, Data-ism is a field guide to what is ahead, explaining how individuals and institutions will need to exploit, protect, and manage data to stay competitive in the coming years. With rich examples of how the rise of big data is affecting everyday life, Data-ism also raises provocative questions about policy and practice that have wide implications for everyone.The age of data-ism is here. But are we ready to handle its consequences, good and bad?

目录

Dedication

Acknowledgments

Contents

1 How Big Is Big Data?

2 Potential. Potential. Potential.

3 Bet the Company

4 Sight and Insight

5 The Rise of the Data Scientist

6 Data Storytelling: Correlation and Context

7 Data Gets Physical

8 The Yin and Yang of Behavior and Data

9 The Long Game

10 The Prying Eyes of Big Data

11 The Future: Data Capitalism

Notes

Index

About the Author

Also by Steve Lohr

Credits

Copyright

About the Publisher