Data-ism : the revolution transforming decision making, consumer behavior, and almost everything else / Steve Lohr.

Format:

Book

Author/Creator:

Lohr, Steve.

Language:

English

Subjects (All):

Big data--Social aspects.

Big data.

Electronic data processing--Social aspects.

Electronic data processing.

Data mining--Social aspects.

Data mining.

Information technology--Social aspects.

Information technology.

Afro-amerikanska kvinnor i populärkulturen.

Local Subjects:

Afro-amerikanska kvinnor i populärkulturen.

Physical Description:

xi, 239 pages ; 24 cm

Edition:

First edition.

Place of Publication:

New York, NY : HarperCollins Publishers, [2015]

Summary:

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.

Contents:

How big is big data?

Potential. Potential. Potential

Bet the company

Sight and insight

The rise of the data scientist

Data storytelling: Correlation and context

Data gets physical

The yin and yang of behavior and data

The long game

The prying eyes of big data

The future: Data capitalism.

Notes:

Includes bibliographical references and index.

ISBN:

9780062226815

0062226819

9780062226822

0062226827

OCLC:

861210012