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The different facets of the sharing economy offer numerous
opportunities for businesses ? particularly those that can be
distinguished by their creative ideas and their ability to easily
connect buyers and senders of goods and services via digital
platforms. At the beginning of the growth of this economy, the
advanced digital technologies generated billions of bytes of data
that constitute what we call Big Data. This book underlines the
facilitating role of Big Data analytics, explaining why and how
data analysis algorithms can be integrated operationally, in order
to extract value and to improve the practices of the sharing
economy. It examines the reasons why these new techniques are
necessary for businesses of this economy and proposes a series of
useful applications that illustrate the use of data in the sharing
ecosystem.
The main purpose of this book is to investigate, explore and
describe approaches and methods to facilitate data understanding
through analytics solutions based on its principles, concepts and
applications. But analyzing data is also about involving the use of
software. For this, and in order to cover some aspect of data
analytics, this book uses software (Excel, SPSS, Python, etc) which
can help readers to better understand the analytics process in
simple terms and supporting useful methods in its application.
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