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"The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes, and types of data. Amidst all of the chaos, though, a new type of organization is emerging. In The Visual Organization, award-winning author and technology expert Phil Simon looks at how anincreasingly number of organizations are embracing new dataviz tools and, more important, a new mind-set based upon data discovery and exploration. Simon adroitly shows how Amazon, Apple, Facebook, Google, Twitter, and other tech heavyweights use powerful data visualization tools to garner fascinating insights into their businesses. But make no mistake: these companies are hardly alone. Organizations of all types, industries, sizes are representing their data in new and amazing ways. As a result, they are asking better questions and making better business decisions. Rife with real-world examples and case studies, The Visual Organization is a full-color tour-de-force"--
Inhaltsverzeichnis
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
Über den Autor / die Autorin
Phil Simon is a frequent keynote speaker and recognized technology expert. He is the awardwinning author of six management books He consults with organizations on matters related to strategy, data, and technology His contributions have been featured on
The Harvard Business Review, CNN, NBC, CNBC,
Inc. Magazine, BusinessWeek, The Huffington Post,
Fast Company,
The New York Times, ReadWriteWeb, and many other sites.
#visualorg
www.philsimon.com
@philsimon
Zusammenfassung
The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes, and types of data.
