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

By: Material type: TextTextLanguage: English Publisher: Sebastopol, CA : O'Reilly Media, 2015Edition: First edition.Description: xiv, 285 pages : illustrations (some color) ; 23 cm.Subject(s): LOC classification:
  • HD31.2 .A54
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.
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.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Recommended bibliography book Recommended bibliography book TBS Barcelona HD31 AND (Browse shelf(Opens below)) 1 Available b02773

Includes bibliographical references and index.

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.

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.

Description based on online resource; title from title page (Safari, viewed August 10, 2015).

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