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Informationen zum Autor PHIL SIMON is a frequent keynote speaker, a recognized technology authority, and the award-winning author of seven management books. His contributions have been featured in The Harvard Business Review , Wired , BusinessWeek , The Huffington Post , and The New York Times , and on CNN, NBC, and CNBC. Klappentext too BIG to IGNORE THE BUSINESS CASE FOR BIG DATA Residents in Boston, Massachusetts automatically report potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer personalized rates. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its 300 million customers. Quantcast lets companies target precise audiences and key demographics over the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? In short, via an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. In Too Big to Ignore , tech expert and award-winning author Phil Simon provides commonsense, jargon-free advice for people and organizations looking to understand and act on Big Data. Rife with case studies, examples, analysis, and quotes from real-world practitioners, you'll learn why Big Data is a big deal. Zusammenfassung Residents in Boston! Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Inhaltsverzeichnis List of Tables and Figures xv Preface xvii Acknowledgments xxiii Introduction This Ain't Your Father's Data 1 Better Car Insurance through Data 2 Potholes and General Road Hazards 5 Recruiting and Retention 8 How Big is Big? The Size of Big Data 10 Why Now? Explaining the Big Data Revolution 12 Central Thesis of Book 22 Plan of Attack 24 Who Should Read This Book? 25 Summary 25 Notes 26 Chapter 1 Data 101 and the Data Deluge 29 The Beginnings: Structured Data 30 Structure This! Web 2.0 and the Arrival of Big Data 33 The Composition of Data: Then and Now 39 The Current State of the Data Union 41 The Enterprise and the Brave New Big Data World 43 Summary 46 Notes 47 Chapter 2 Demystifying Big Data 49 Characteristics of Big Data 50 The Anti-Definition: What Big Data Is Not 71 Summary 72 Notes 72 Chapter 3 The Elements of Persuasion: Big Data Techniques 77 The Big Overview 79 Statistical Techniques and Methods 80 Data Visualization 84 Automation 88 Semantics 93 Big Data and the Gang of Four 98 Predictive Analytics 100 Limitations of Big Data 105 Summary 106 Notes 107 Chapter 4 Big Data Solutions 111 Projects, Applications, and Platforms 114 Other Data Storage Solutions 121 Websites, Start-ups, and Web Services 128 Hardware Considerations 133 The Art and Science of Predictive Analytics 136 Summary 137 Notes 137 Chapter 5 Case Studies: The Big Rewards of Big Data 141 Quantcast: A Small Big Data Company 141 Explorys: The Human Case for Big Data 147 NASA: How Contests, Gamification, and Open Innovation Enable Big Data 152
