Creating a data-driven organization

Creating a data-driven organization

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 / 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:Beijing
  • Language:eng
  • Publication Date:2015.

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781491916889, 1491916885, 9781491916865, 1491916869, 9781491916902, 1491916907, 1491916915, 9781491916919
  • oclc:ocn915134653
  • LC Classification:HD31.2
  • Dewey Decimal:658

Table of Contents

Copyright; Table of Contents; Preface; Summary; Who Should Read This Book?; Chapter Organization; Conventions Used in This Book; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1. What Do We Mean by Data-Driven?; Data Collection; Data Access; Reporting; Alerting; From Reporting and Alerting to Analysis; Hallmarks of Data-Drivenness; Analytics Maturity; Overview; Chapter 2. Data Quality; Facets of Data Quality; Dirty Data; Data Generation; Data Entry; Missing Data; Duplicates; Truncated Data; Units; Default Values; Data Provenance; Data Quality Is a Shared Responsibility.

Chapter 3. Data CollectionCollect All the Things; Prioritizing Data Sources; Connecting the Dots; Data Collection; Purchasing Data; How Much Is a Dataset Worth?; Data Retention; Chapter 4. The Analyst Organization; Types of Analysts; Data Analyst; Data Engineers and Analytics Engineers; Business Analysts; Data Scientists; Statisticians; Quants; Accountants and Financial Analysts; Data Visualization Specialists; Analytics Is a Team Sport; Skills and Qualities; Just One More Tool; Exploratory Data Analysis and Statistical Modeling; Database Queries; File Inspection and Manipulation.

Chapter 5. Da…

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Subjects

BUSINESS & ECONOMICS -- Industrial Mana… Business & Economics -- Management BUSINESS & ECONOMICS -- Management Scie… BUSINESS & ECONOMICS -- Organizational … Efficience dans l'industrie Industrial efficiency Industrial organization Industrie -- Organisation, contrôle, etc

Writers

Anderson, Carl

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