Produktbild: Analytics

Analytics The Agile Way

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.06.2017

Verlag

Wiley

Seitenzahl

302

Maße (L/B/H)

22,9/15,2/1,8 cm

Gewicht

574 g

Sprache

Englisch

ISBN

978-1-119-42347-8

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.06.2017

Verlag

Wiley

Seitenzahl

302

Maße (L/B/H)

22,9/15,2/1,8 cm

Gewicht

574 g

Sprache

Englisch

ISBN

978-1-119-42347-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Analytics
  • Preface: The Power of Dynamic Data xvii

    List of Figures and Tables xxvii

    Introduction: It Didn't Used to Be This Way 1

    A Little History Lesson 2

    Analytics and the Need for Speed 5

    Book Scope, Approach, and Style 9

    Intended Audience 12

    Plan of Attack 13

    Next 14

    Notes 14

    Part One Background and Trends 17

    Chapter 1 Signs of the Times: Why Data and Analytics Are Dominating Our World 19

    The Moneyball Effect 20

    Digitization and the Great Unbundling 22

    Amazon Web Services and Cloud Computing 24

    Not Your Father's Data Storage 26

    Moore's Law 28

    The Smartphone Revolution 28

    The Democratization of Data 29

    The Primacy of Privacy 29

    The Internet of Things 31

    The Rise of the Data-Savvy Employee 31

    The Burgeoning Importance of Data Analytics 32

    Data-Related Challenges 40

    Companies Left Behind 41

    The Growth of Analytics Programs 42

    Next 43

    Notes 43

    Chapter 2 The Fundamentals of Contemporary Data: A Primer on What It Is, Why It Matters, and How to Get It 45

    Types of Data 46

    Getting the Data 52

    Data in Motion 61

    Next 63

    Notes 63

    Chapter 3 The Fundamentals of Analytics: Peeling Back the Onion 65

    Defining Analytics 66

    Types of Analytics 69

    Streaming Data Revisited 72

    A Final Word on Analytics 74

    Next 75

    Notes 75

    Part Two Agile Methods and Analytics 77

    Chapter 4 A Better Way to Work: The Benefits and Core Values of Agile Development 79

    The Case against Traditional Analytics Projects 80

    Proving the Superiority of Agile Methods 82

    The Case for Guidelines over Rules 84

    Next 88

    Notes 88

    Chapter 5 Introducing Scrum: Looking at One of Today's Most Popular Agile Methods 89

    A Very Brief History 90

    Scrum Teams 91

    User Stories 94

    Backlogs 97

    Sprints and Meetings 98

    Releases 101

    Estimation Techniques 102

    Other Scrum Artifacts, Tools, and Concepts 109

    Next 112

    Chapter 6 A Framework for Agile Analytics: A Simple Model for Gathering Insights 113

    Perform Business Discovery 115

    Perform Data Discovery 117

    Prepare the Data 118

    Model the Data 120

    Score and Deploy 127

    Evaluate and Improve 128

    Next 130

    Notes 130

    Part Three Analytics in Action 131

    Chapter 7 University Tutoring Center: An In-Depth Case Study on Agile Analytics 133

    The UTC and Project Background 134

    Project Goals and Kickoff 136

    Iteration One 139

    Iteration Two 140

    Iteration Three 145

    Iteration Four 146

    Results 147

    Lessons 148

    Next 148

    Chapter 8 People Analytics at Google/Alphabet: Not Your Father's HR Department 149

    The Value of Business Experiments 150

    PiLab's Adventures in Analytics 151

    A Better Approach to Hiring 153

    Staffing 156

    The Value of Perks 158

    Results and Lessons 162

    Next 162

    Notes 163

    Chapter 9 The Anti-Google: Beneke Pharmaceuticals 165

    Project Background 166

    Business and Data Discovery 167

    The Friction Begins 168

    Astonishing Results 169

    Developing Options 171

    The Grand Finale 172

    Results and Lessons 173

    Next 174

    Chapter 10 Ice Station Zebra Medical: How Agile Methods Solved a Messy Health-Care Data Problem 175

    Paying Nurses 176

    Enter the Consultant 178

    User Stories 179

    Agile: The Better Way 182

    Results 183

    Lessons 183

    Next 184

    Chapter 11 Racial Profiling at Nextdoor: Using Data to Build a Better App and Combat a PR Disaster 185

    Unintended but Familiar Consequences 187

    Evaluating the Problem 188

    Results and Lessons 193

    Next 195

    Notes 195

    Part Four Making the Most Out of Agile Analytics ..........197

    Chapter 12 The Benefits of Agile Analytics: The Upsides of Small Batches 199

    Life at IAC 200

    Life at RDC 203

    Comparing the Two 206

    Next 206

    Chapter 13 No Free Lunch: The Impediments to-and Limitations of-Agile Analytics 209

    People Issues 210

    Data Issues 212

    The Limitations of Agile Analytics 216

    Next 219

    Chapter 14 The Importance of Designing for Data: Lessons from the Upstarts 221

    The Genes of Music 222

    The Tension between Data and Design 226

    Next 229

    Notes 229

    Part Five Conclusions and Next Steps 231

    Chapter 15 What Now?: A Look Forward 233

    A Tale of Two Retailers 234

    The Blurry Futures of Data, Analytics, and Related Issues 239

    Final Thoughts and Next Steps 242

    Notes 243

    Afterword 245

    Acknowledgments 247

    Selected Bibliography 249

    Books 249

    Articles and Essays 251

    About the Author 253

    Index 255