Reinventing Capitalism in the Age of Big Data
(Sprache: Englisch)
A provocative look at how data is reinventing the market: where big firms will no longer be dominant.
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A provocative look at how data is reinventing the market: where big firms will no longer be dominant.
Klappentext zu „Reinventing Capitalism in the Age of Big Data “
Markets have long been acknowledged to be a superior mechanism for managing resources but until the advent of big data, they largely functioned better in theory than in practice. Now, as ideal markets are within reach because of vastly greater access to information, we are on the verge of a major disruption. As data becomes a more valuable asset than cash, the rules for surviving and thriving are changing.Reinventing Capitalism is a provocative look at how data is reinventing markets and, in so doing, is ushering in an era where the firm is no longer predominant. With richer and more comprehensive information about human wants and needs, an economy powered by data offers the possibility of increased abundance, equality, and resilience. The data-driven markets that will thrive in this environment are far better than firms at organizing human endeavors, meaning that finance driven capitalism is being displaced by its more efficient, moresustainable, and more democratic disruptor: data capitalism.
Autoren-Porträt von Viktor Mayer-Schonberger, Thomas Ramge
Viktor Mayer-Schönberger is the co-author (with Kenneth Cukier) of Big Data: A Revolution That Will Transform How We Live, Work, and Think. Published in 2013, the book has been translated into 20 languages and has sold more than 1 million copies worldwide.Thomas Ramge is the technology correspondent of the business magazine brand eins and writes for The Economist.
Bibliographische Angaben
- Autoren: Viktor Mayer-Schonberger , Thomas Ramge
- 2019, 288 Seiten, Masse: 12,8 x 19,8 cm, Kartoniert (TB), Englisch
- Verlag: Hodder & Stoughton
- ISBN-10: 1473656524
- ISBN-13: 9781473656529
- Erscheinungsdatum: 07.01.2019
Sprache:
Englisch
Pressezitat
Ideas on how best to organise a data economy are far and few between. This book offers plenty of food for thought Ludwig Siegele, Technology Editor, The Economist
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