02648cam a2200385 i 4500 117165 20230410115518.0 130905s2014 nyua b 001 0 eng 17876664 acquire 1 shelf copy Sel/ddw, 2014-07-18 lcc bk 2013035087 9780814433744 DLC eng DLC rda DLC 081443374x Eng pcc HD30.2 SU961 2014 658.4/038 23 Surdak, Christopher. Data crush : how the information tidal wave is driving new business opportunities / Christopher Surdak. New York : American Management Association, [2014] viii, 280 pages : illustrations ; 24 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references and index. CONTENTS Foreword vii Introduction 1 Part One: What's Driving the Data Crush? 7 1 Mobility: Smartphones, Tablets, and the "Internet of Things" 9 2 Virtual Living: The Rise and Growing Dominance of Social Media 23 3 Digital Commerce: Infinite Options for Buying Goods and Services Online 35 4 Online Entertainment: Millions of Channels, Billions of Actors 48 5 Cloud Computing: The Death of Dedicated Infrastructure 58 6 "Big Data": Learning from the Flood 68 Part Two: The Impact on Business 77 7 Contextification: Responding to the Market of One 79 8 Socialfication: The Intimacy Imperative 98 9 Quantafication: The Building Blocks of Business 113 10 Appification: Instant Customer Gratification 128 11 Cloudification: Everything as a Service 142 12 Thingification: Objects as Participants 157 Pa rt Three: How Successful Businesses Will Respond 171 13 Polarize: Know Thyself 173 14 Accelerate: Your Only Business Imperative 185 15 Data Enable: Leveraging Your Most Valuable Asset 196 16 Quantification: Big Data, Bigger Results 206 17 Gamify: Getting What You Pay for 215 18 Crowdsource: Putting Your Audience to Work 224 Summary: A Few Days in Life, Circa 2020 235 Notes 269 Index 273 Balancing examples from giants like Amazon, Home Depot, and Ford with newer players like Rovio, Groupon, and scores of niche-market winners, this title examines the forces behind the explosive growth in data and reveals how the companies are responding to this challenge. Information technology Management. Marketing research Data processing. Business intelligence Data processing. Big data. dpf 42674 42674 0 0 lcc 0 0 CS BJB BJB CS 2023-04-10 4 0 HD30.2 SU961 2014 00000110506 2018-10-24 00:00:00 1 2018-10-24 bk