Creating a data-driven organization : practical advice from the trenches

Creating a data-driven organization : practical advice from the trenches

by Anderson, Carl

Type Book
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"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when …

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Title Statements

  • Full title :Creating a data-driven organization : practical advice from the trenches / Carl Anderson.

Summary

"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.

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Edition Statements

  • Publication Date:2015.
  • Edition:First edition

Publication Statements

  • Publisher(s):O'Reilly Media
  • Place of Publication:Sebastopol, CA
  • Language:eng
  • Publication Date:2015.

The Physical Object

  • Description:1 online resource (1 volume) : : illustrations

Edition Identifiers

  • ISBN:1491916915, 9781491916919, 1491916869, 9781491916865, 1491916877, 9781491916872
  • oclc:ocn918902765
  • LC Classification:HD31
  • Dewey Decimal:658

Table of Contents

What do we mean by data-driven? -- Data quality -- Data collection -- The analyst organization -- Data analysis -- Metric design -- Storytelling with data -- A/B testing -- Decision making -- Data-driven culture -- The data-driven C-Suite -- Privacy, ethics, and risk -- Conclusion.

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