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Too big to ignore : the business case for big data

Author: Phil Simon
Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
How businesses of all shapes and sizes can harness the power of Big Data If you haven't heard of Big Data, you're increasingly in the minority. People produce a mind-boggling amount of data every day-so much that making sense of it all is simply beyond the current capabilities of most organizations. Traditional tools and systems just can't handle Big Data. How does a marketer identify an emerging trend when she  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Simon, Phil.
Too big to ignore.
Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
(DLC) 2013000341
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Phil Simon
ISBN: 9781118642108 1118642104 9781118641866 1118641868 9781118641682 111864168X 1299315712 9781299315716 9781119204039 1119204038
OCLC Number: 828776041
Description: 1 online resource
Contents: Too Big to Ignore; Contents; List of Tables and Figures; Preface; Acknowledgments; Introduction: This Ain't Your Father's Data; Better Car Insurance through Data; Potholes and General Road Hazards; Recruiting and Retention; How Big Is Big? The Size of Big Data; Why Now? Explaining the Big Data Revolution; The Always-On Consumer; The Plummeting of Technology Costs; The Rise of Data Science; Google and Infonomics; The Platform Economy; The 11/12 Watershed: Sandy and Politics; Social Media and Other Factors; Central Thesis of Book; Plan of Attack; Who Should Read This Book?; Summary; Notes. Chapter 1 Data 101 and the Data DelugeThe Beginnings: Structured Data; Structure This! Web 2.0 and the Arrival of Big Data; Unstructured Data; Semi-Structured Data; Metadata; The Composition of Data: Then and Now; The Current State of the Data Union; The Enterprise and the Brave New Big Data World; The Data Disconnect; Big Tools and Big Opportunities; Summary; Notes; Chapter 2 Demystifying Big Data; Characteristics of Big Data; Big Data Is Already Here; Big Data Is Extremely Fragmented; Big Data Is Not an Elixir; Small Data Extends Big Data; Big Data Is a Complement, Not a Substitute. Big Data Can Yield Better PredictionsBig Data Giveth-and Big Data Taketh Away; Big Data Is Neither Omniscient Nor Precise; Big Data Is Generally Wide, Not Long; Big Data Is Dynamic and Largely Unpredictable; Big Data Is Largely Consumer Driven; Big Data Is External and "Unmanageable" in the Traditional Sense; Big Data Is Inherently Incomplete; Big Overlap: Big Data, Business Intelligence, and Data Mining; Big Data Is Democratic; The Anti-Definition: What Big Data Is Not; Summary; Notes; Chapter 3 The Elements of Persuasion: Big Data Techniques; The Big Overview. Statistical Techniques and MethodsRegression; A/B Testing; Data Visualization; Heat Maps; Time Series Analysis; Automation; Machine Learning and Intelligence; Sensors and Nanotechnology; RFID and NFC; Semantics; Natural Language Processing; Text Analytics; Sentiment Analysis; Big Data and the Gang of Four; Predictive Analytics; Two Key Laws of Big Data; Collaborative Filtering; Limitations of Big Data; Summary; Notes; Chapter 4 Big Data Solutions; Projects, Applications, and Platforms; Hadoop; Other Data Storage Solutions; NoSQL Databases; NewSQL; Columnar Databases. Google: Following the Amazon Model?Websites, Start-Ups, and Web Services; Kaggle; Other Start-Ups; Hardware Considerations; The Art and Science of Predictive Analytics; Summary; Notes; Chapter 5 Case Studies: The Big Rewards of Big Data; Quantcast: A Small Big Data Company; Steps: A Big Evolution; Buy Your Audience; Results; Lessons; Explorys: The Human Case for Big Data; Better Healthcare through Hadoop; Steps; Results; Lessons; NASA: How Contests, Gamification, and OpenInnovation Enable Big Data; Background; Examples; A Sample Challenge; Lessons; Summary; Notes.
Responsibility: Phil Simon.

Abstract:

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  Read more...

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