Bøger af Soraya Sedkaoui

This book presents the proceedings of the International Conference on Managing Business through Web Analytics (ICMBWA 2021). The conference provides a global forum for sharing knowledge and results in theory, methodology, and applications of Web Analytics and their role in the formulation and the orientation of businesses' strategies. The aim of the conference is to provide a platform for researchers and practitioners from both academia and industry to meet and share their works in the field. Is an excellent resource for scholars, experts and industrial in the fields represented, as well as Ph.D. students seeking an entryway into current research in data analytics, Web analytics, machine learning algorithms, and their various applications within businesses. 

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.

Presents emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques within business applications. The book provides concrete examples and case studies of successful uses of data-driven projects as well as the challenges and opportunities of generating value from data using analytics.

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.