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Informationen zum Autor CHUNLEI TANG , Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan's Institute for Data Industry and proposed the concept of the "data industry". She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China. Klappentext Provides an introduction of the data industry to the field of economicsThis book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises' business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees.* Defines and develops the concept of a "Data Industry," and explains the economics of data to data scientists and statisticians* Includes numerous case studies and examples from a variety of industries and disciplines* Serves as a useful guide for practitioners and entrepreneurs in the business of data technologyThe Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics.CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan's Institute for Data Industry and proposed the concept of the "data industry". She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China. Zusammenfassung Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. Inhaltsverzeichnis Bibliography I Dedication II Praise III Preface IV Chapter I What Is Data Industry? 1 1.1 Data 2 1.1.1 Data Resources 2 1.1.2 The Data Asset 4 1.2 Industry 6 1.2.1 Classification of Industries 6 1.2.2 The Modern Industrial System 7 1.3 Data Industry 10 1.3.1 Definitions 10 1.3.2 An Industry Structure Study 11 1.3.3 Industrial Behavior 13 1.3.4 Market Performance 17 Chapter II Data Resources 20 2.1 Scientific Data 20 2.1.1 Data-Intensive Discovery in the Natural Science 20 2.1.2 The Social Sciences Revolution 21 2.1.3 The Underused Scientific Record 23 2.2 Administrative Data 23 2.2.1 Open Governmental Affairs Data 25 2.2.2 Public Release of Administrative Data 26 2.2.3 A "Numerical" Misunderstanding in Governmental Affairs 27 2.3 Internet Data 28 2.3.1 Cyberspace: Data of the Sole Existence 28 2.3.2 Crawled Fortune 29 2.3.3 Forum Opinion Mining 30 2.3.4 Chat with Hidden Identities 31 2.3.5 Email: The First Type of Electronic Evidence 31 2.3.6 Evolution of the Blog 33 2.3.7 Six Degrees Social Network 34 2.4 Financial Data 34 2.4.1 Twins on News and Financial Data 35 2.4.2 The Annoyed Data Cent...
