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Data economy in the digital age

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data economy in the digital ageby Samiksha Shukla ... [et al.].
other author:	Shukla, Samiksha.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xxii, 119 p. :illustrations, digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electronic data processingEconomic aspects.
Online resource:	https://doi.org/10.1007/978-981-99-7677-5
ISBN:	9789819976775$q(electronic bk.)

Data economy in the digital age
Data economy in the digital age[electronic resource] /by Samiksha Shukla ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxii, 119 p. :illustrations, digital ;24 cm. - Data-intensive research,2731-5568. - Data-intensive research..

Chapter 1: Data Economy -- Chapter 2: Navigating the Data Deluge: Challenges and Opportunities -- Chapter 3: Data Monetization -- Chapter 4: Demographic Trend of Data Economy -- Chapter 5: The Economy of Data Privacy -- Chapter 6: Application of Data Economy.

The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.

ISBN: 9789819976775$q(electronic bk.)

Standard No.: 10.1007/978-981-99-7677-5doiSubjects--Topical Terms:

964726
Electronic data processing
--Economic aspects.

LC Class. No.: HF5548.2

Dewey Class. No.: 658.05

Data economy in the digital age
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520 $a The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.
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