Summary of Data-ism

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Rating

8 Overall

9 Importance

7 Innovation

7 Style


Recommendation

Is big data a big opportunity – or a big problem? Business writer Steve Lohr helps answer that question with a compelling collection of wide-ranging stories that demonstrate big data’s possibilities and complexities. Lohr follows people and organizations through the big data jungle. Some are big data pioneers. Some, like IBM, were once giants, almost died and now are coming back. Others are normal organizations adapting to change. Lohr’s varied stories humanize big data. He helps you see why people might become big proponents of it and why they might resist it. getAbstract recommends Lohr’s narrative to CEOs, CIOs, managers, coders, start-ups, entrepreneurs, students of business, futurists, and anyone interested in big data or social change.

In this summary, you will learn

  • How big data reshapes society, and
  • How different people and organizations grapple with big data’s implications.
 

About the Author

Steve Lohr covers business and technology and contributes to the Bits Blog for The New York Times. In 2013, he was part of a team that won the Pulitzer Prize for Explanatory Reporting.

 

Summary

Big Data and Data-ism
English statistician and biologist Ronald Fisher first applied what now might be called data science to agriculture in the 1920s. At IBM in the 1950s, Hans Peter Luhn suggested that firms would someday use “business intelligence” to strengthen their decision making...

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