Summary of Mind + Machine

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Rating

8 Overall

8 Applicability

8 Innovation

7 Style

Recommendation

Evaluserve CEO Marc Vollenweider knows his analytics, and large stretches of his guidebook offer focused, applicable advice. The list of analytics-related fallacies in Part I alone can save organizations plenty of money, and the methodology he explains in Part III can make implementing analytics sensible and functional. However, because Vollenweider is so experienced in analytics, he moves quickly, and so his work may challenge those who are new to the field. That issue aside, getAbstract recommends his guidance to anyone interested in analytics, big data or knowledge management.

In this summary, you will learn

  • How most businesspeople misunderstand analytics,
  • What trends offer great possibilities for analytics and
  • How to implement analytics strategically.
 

About the Author

Marc Vollenweider is co-founder and CEO of Evaluserve, a company that specializes in analytics and data management.

 

Summary

Big Data: Hype, Fallacies and Reality

Big data and related fields like analytics suffer from hype. Overblown claims about big data often overwhelm useful, focused, rational discussions of big-data reality. The first fallacy is that “big data solves everything.” It doesn’t. Many people embrace big data without necessary tools and contexts. They need better structures to govern data usage, as well as a definition of how they’ll use analytics, goals, metrics and accountable, expert staff.

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    Pedro A Correa 4 months ago
    Touches on key topics such as human rationality, tools and risk management without deep diving and losing focus. Could've structured more clearly: trends, why outsourcing becomes favored with this approach. Good reading. From 0 to 10, as far as satisfying my expectations, I give it a 7.5.

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