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The Data Industry

Book Description

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. 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 technology

The 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.

Table of Contents

  1. COVER
  2. TITLE PAGE
  3. COPYRIGHT
  4. BIBLIOGRAPHY
  5. DEDICATION
  6. ENDORSEMENTS
  7. PREFACE
  8. CHAPTER 1: WHAT IS DATA INDUSTRY?
    1. 1.1 DATA
    2. 1.2 INDUSTRY
    3. 1.3 DATA INDUSTRY
  9. CHAPTER 2: DATA RESOURCES
    1. 2.1 SCIENTIFIC DATA
    2. 2.2 ADMINISTRATIVE DATA
    3. 2.3 INTERNET DATA
    4. 2.4 FINANCIAL DATA
    5. 2.5 HEALTH DATA
    6. 2.6 TRANSPORTATION Data
    7. 2.7 TRANSACTION DATA
  10. CHAPTER 3: DATA INDUSTRY CHAIN
    1. 3.1 INDUSTRIAL CHAIN DEFINITION
    2. 3.2 INDUSTRIAL CHAIN STRUCTURE
    3. 3.3 INDUSTRIAL CHAIN FORMATION
    4. 3.4 EVOLUTION OF INDUSTRIAL CHAIN
    5. 3.5 INDUSTRIAL CHAIN GOVERNANCE
    6. 3.6 THE DATA INDUSTRY CHAIN AND ITS INNOVATION NETWORK
  11. CHAPTER 4: EXISTING DATA INNOVATIONS
    1. 4.1 WEB CREATIONS
    2. 4.2 DATA MARKETING
    3. 4.3 PUSH SERVICES
    4. 4.4 PRICE COMPARISON
    5. 4.5 DISEASE PREVENTION
  12. CHAPTER 5: DATA SERVICES IN MULTIPLE DOMAINS
    1. 5.1 SCIENTIFIC DATA SERVICES
    2. 5.2 ADMINISTRATIVE DATA SERVICES
    3. 5.3 INTERNET DATA SERVICES
    4. 5.4 FINANCIAL DATA SERVICES
    5. 5.5 HEALTH DATA SERVICES
    6. 5.6 TRANSPORTATION DATA SERVICES
    7. 5.7 TRANSACTION DATA SERVICES
  13. CHAPTER 6: DATA SERVICES IN DISTINCT SECTORS
    1. 6.1 NATURAL RESOURCE SECTORS
    2. 6.2 MANUFACTURING SECTOR
    3. 6.3 LOGISTICS AND WAREHOUSING SECTOR
    4. 6.4 SHIPPING SECTOR
    5. 6.5 REAL ESTATE SECTOR
    6. 6.6 TOURISM SECTOR
    7. 6.7 EDUCATION AND TRAINING SECTOR
    8. 6.8 SERVICE SECTOR
    9. 6.9 MEDIA, SPORTS, AND THE ENTERTAINMENT SECTOR
    10. 6.10 PUBLIC SECTOR
  14. CHAPTER 7: BUSINESS MODELS IN THE DATA INDUSTRY
    1. 7.1 GENERAL ANALYSIS OF THE BUSINESS MODEL
    2. 7.2 DATA INDUSTRY BUSINESS MODELS
    3. 7.3 INNOVATION OF DATA INDUSTRY BUSINESS MODELS
  15. CHAPTER 8: OPERATING MODELS IN THE DATA INDUSTRY
    1. 8.1 GENERAL ANALYSIS OF THE OPERATING MODEL
    2. 8.2 DATA INDUSTRY OPERATING MODELS
    3. 8.3 INNOVATION OF DATA INDUSTRY OPERATING MODELS
  16. CHAPTER 9: ENTERPRISE AGGLOMERATION OF THE DATA INDUSTRY
    1. 9.1 DIRECTIVE AGGLOMERATION
    2. 9.2 DRIVEN AGGLOMERATION
    3. 9.3 INDUSTRIAL SYMBIOSIS
    4. 9.4 WHEEL-AXLE TYPE AGGLOMERATION
    5. 9.5 REFOCUSING AGGLOMERATION
  17. CHAPTER 10: CLUSTER EFFECTS OF THE DATA INDUSTRY
    1. 10.1 EXTERNAL ECONOMIES
    2. 10.2 INTERNAL ECONOMIES
    3. 10.3 TRANSACTION COST
    4. 10.4 COMPETITIVE ADVANTAGES
    5. 10.5 NEGATIVE EFFECTS
  18. CHAPTER 11: A MODE OF INDUSTRIAL DEVELOPMENT FOR THE DATA INDUSTRY
    1. 11.1 GENERAL ANALYSIS OF THE DEVELOPMENT MODE
    2. 11.2 A BASIC DEVELOPMENT MODE FOR THE DATA INDUSTRY
    3. 11.3 AN OPTIMIZED DEVELOPMENT MODE FOR THE DATA INDUSTRY
  19. CHAPTER 12: A GUIDE TO THE EMERGING DATA LAW
    1. 12.1 DATA RESOURCE LAW
    2. 12.2 DATA ANTITRUST LAW
    3. 12.3 DATA FRAUD PREVENTION LAW
    4. 12.4 DATA PRIVACY LAW
    5. 12.5 DATA ASSET LAW
  20. REFERENCES
  21. INDEX
  22. END USER LICENSE AGREEMENT