Produktbild: The Visual Organization

The Visual Organization Data Visualization, Big Data, and the Quest for Better Decisions

Aus der Reihe SAS Institute Inc

59,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.03.2014

Verlag

John Wiley & Sons Inc

Seitenzahl

240

Maße (L/B/H)

26,3/18,9/2,3 cm

Gewicht

753 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-79438-8

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.03.2014

Verlag

John Wiley & Sons Inc

Seitenzahl

240

Maße (L/B/H)

26,3/18,9/2,3 cm

Gewicht

753 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-79438-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: The Visual Organization
  • List of Figures and Tables xvii
     
    Preface xix
     
    Acknowledgments xxv
     
    How to Help This Book xxvii
     
    Part I Book Overview and Background 1
     
    Introduction 3
     
    Adventures in Twitter Data Discovery 4
     
    Contemporary Dataviz 101 9
     
    Primary Objective 9
     
    Benefits 11
     
    More Important Than Ever 13
     
    Revenge of the Laggards: The Current State of Dataviz 15
     
    Book Overview 18
     
    Defining the Visual Organization 19
     
    Central Thesis of Book 19
     
    Cui Bono? 20
     
    Methodology: Story Matters Here 21
     
    The Quest for Knowledge and Case Studies 24
     
    Differentiation: A Note on Other Dataviz Texts 25
     
    Plan of Attack 26
     
    Next 27
     
    Notes 27
     
    Chapter 1 The Ascent of the Visual Organization 29
     
    The Rise of Big Data 30

    Open Data 30
     
    The Burgeoning Data Ecosystem 33
     
    The New Web: Visual, Semantic, and API-Driven 34
     
    The Arrival of the Visual Web 34
     
    Linked Data and a More Semantic Web 35
     
    The Relative Ease of Accessing Data 36
     
    Greater Efficiency via Clouds and Data Centers 37
     
    Better Data Tools 38
     
    Greater Organizational Transparency 40
     
    The Copycat Economy: Monkey See, Monkey Do 41
     
    Data Journalism and the Nate Silver Effect 41
     
    Digital Man 44
     
    The Arrival of the Visual Citizen 44
     
    Mobility 47

    The Visual Employee: A More Tech- and Data-Savvy Workforce 47
     
    Navigating Our Data-Driven World 48
     
    Next 49
     
    Notes 49
     
    Chapter 2 Transforming Data into Insights: The Tools 51
     
    Dataviz: Part of an Intelligent and Holistic Strategy 52
     
    The Tyranny of Terminology: Dataviz, BI, Reporting, Analytics, and KPIs 53
     
    Do Visual Organizations Eschew All Tried-and-True Reporting Tools? 55
     
    Drawing Some Distinctions 56
     
    The Dataviz Fab Five 57
     
    Applications from Large Enterprise Software Vendors 57
     
    LESVs: The Case For 58
     
    LESVs: The Case Against 59
     
    Best-of-Breed Applications 61
     
    Cost 62
     
    Ease of Use and Employee Training 62
     
    Integration and the Big Data World 63
     
    Popular Open-Source Tools 64
     
    D3.js 64
     
    R 65
     
    Others 66
     
    Design Firms 66
     
    Startups, Web Services, and Additional Resources 70
     
    The Final Word: One Size Doesn't Fit All 72
     
    Next 73
     
    Notes 73
     
    Part II Introducing the Visual Organization 75
     
    Chapter 3 The Quintessential Visual Organization 77
     
    Netflix 1.0: Upsetting the Applecart 77
     
    Netflix 2.0: Self-Cannibalization 78
     
    Dataviz: Part of a Holistic Big Data Strategy 80
     
    Dataviz: Imbued in the Netflix Culture 81
     
    Customer Insights 82
     
    Better Technical and Network Diagnostics 84
     
    Embracing the Community 88
     
    Lessons 89
     
    Next 90
     
    Notes 90
     
    Chapter 4 Dataviz in the DNA 93
     
    The Beginnings 94
     
    UX Is Paramount 95
     
    The Plumbing 97
     
    Embracing Free and Open-Source Tools 98
     
    Extensive Use of APIs 101
     
    Lessons 101
     
    Next 102
     
    Note 102
     
    Chapter 5 Transparency in Texas 103
     
    Background 104
     
    Early Dataviz Efforts 105
     
    Embracing Traditional BI 106
     
    Data Discovery 107
     
    Better Visibility into Student Life 108
     
    Expansion: Spreading Dataviz Throughout the System 110
     
    Results 111
     
    Lessons 113
     
    N