Data-ism
Subtitle: the revolution transforming decision making, consumer behavior, and almost everything else
By: Steve Lohr
Edition: First edition.
Publisher: Harper Business, an imprint of HarperCollins Publishers
Published: 2015
Language: eng
Number of pages: 239
ISBN-13: 9780062226815; 9780062226822
Subjects: Business; Big data; Social aspects; Electronic data processing; Decision making; Data processing; Data mining; Economic aspects; Information technology; Effect of technological innovations on
Description: 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. 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 technology 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. This new revolution could 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.
Notes: Includes bibliographical references and index.
Table of contents: title: How big is big data?; title: Potential. Potential. Potential; title: Bet the company; title: Sight and insight; title: The rise of the data scientist; title: Data storytelling: Correlation and context; title: Data gets physical; title: The yin and yang of behavior and data; title: The long game; title: The prying eyes of big data; title: The future: Data capitalism.