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The Data Industry - The Business and Economics of Information and Big Data (Hardcover)
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The Data Industry - The Business and Economics of Information and Big Data (Hardcover)
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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.
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