Читать книгу Sharing Economy and Big Data Analytics - Soraya Sedkaoui - Страница 14

As I change my thoughts, the world around me changes.

Louise Lynn Hay

The challenge of sustainable development goes by achieving millennium development goals, the first of which is the well-being of the society. The initiatives undertaken to meet the demands of the society are very diverse and take different approaches. They involve disciplines that seem dissimilar at first glance.

This is the ambition of this book! It claims to demonstrate the role of Big Data in the development of the sharing economy.

The sharing economy therefore includes digital platforms that connects buyers and sellers of goods and services. However, this sharing and collaboration would not be possible without the data, in addition to the algorithms, that drive the sharing platforms. Data are therefore the driving force behind this economy.

These large data-sets produced in various forms and in real-time, forming what we now call Big Data, require sophisticated methods coupled with analytical tools in order to create value. Managing data from sharing economy platforms is therefore a factor that promotes cooperativism, which can maximize beneficial economic, societal and environmental impacts.

Big Data contributes in many ways to the growth of this sharing economy, and we will, through this book, examine the different ways in which this is reflected.

By covering a wide range of topics such as Machine Learning algorithms, social innovation and sustainable development, this book provides concrete examples of successful use of the sharing economy, based on the analysis of large amounts of data. And we chose to use Python, a widely used data science language, to analyze the data of the practical examples in this book.

This book adheres to a practical implementation perspective for amateurs, but for professionals too. Its purpose is to familiarize you with the different concepts covered. It will provide emerging insights into the theoretical and practical aspects of Big Data analytics in collaborative and sharing applications.

It is the result of several years of research in environmental economics and Big Data analytics. It also draws on a data analytics experience within the SRY Consulting start-up, based in Montpellier (France).