Phranakorn Rajabhat University Library
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Winning with data : transform your culture, empower your people, and shape the future / Tomasz Tunguz and Frank Bien

By: Contributor(s): Material type: TextTextPublication details: Hoboken, New Jersey : Wiley, 2016Description: xvi, 160 pages : illustrations ; 23 cmISBN:
  • 9781119257233
Subject(s): LOC classification:
  • HD 30.215 T86W 2016
Contents:
Mad Men to Math Men: The Power of the Data Driven Culture -- Four Problems With Data Today: Breadlines, Obscurity, Fragmentation, and Brawls -- Business Intelligence: How We Got Here -- Achieving Data Enlightenment: Gathering Data in the Morning and Changing Your Business's Operations in the Afternoon -- 5 Steps to Creating a Data Driven Company: From Recruiting to Regression It All Starts with Curiosity: Changing the Culture -- From Hacks to Harmony: The Typical Progression of Data Driven Companies -- Data Literacy and Empowerment: The Core Responsibilities of the Data Team -- Deeper Analyses: Asking the Right Questions -- Changing the Way We Operate -- Putting It All Together Acknowledgments
List(s) this item appears in: หนังสือมุม Chairman's Collections
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Holdings
Item type Current library Collection Shelving location Call number Status Barcode
General Book General Book SPU Library, Bangkok (Main Campus) General Books (ENGLISH) Floor 6: Chairman's Collection HD 30.215 T86W 2016 (Browse shelf(Opens below)) Available F069200
Total holds: 0

Includes bibliographical references and index.

Mad Men to Math Men: The Power of the Data Driven Culture -- Four Problems With Data Today: Breadlines, Obscurity, Fragmentation, and Brawls -- Business Intelligence: How We Got Here -- Achieving Data Enlightenment: Gathering Data in the Morning and Changing Your Business's Operations in the Afternoon -- 5 Steps to Creating a Data Driven Company: From Recruiting to Regression It All Starts with Curiosity: Changing the Culture -- From Hacks to Harmony: The Typical Progression of Data Driven Companies -- Data Literacy and Empowerment: The Core Responsibilities of the Data Team -- Deeper Analyses: Asking the Right Questions -- Changing the Way We Operate -- Putting It All Together Acknowledgments

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