Data Science

As data is the most important asset for any organization, it is essential to apply analytics to fulfill the sustainability needs of any organization. This book aims to provide a context for data analytics for the sustainability of organizations, demonstrating innovation across a few specific subject areas with detailed coverage. It highlights how data analytics enables organizations to create intelligence by exploring opportunities and overcoming challenges, both present and future.

Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practices is packed with up-to-date examples and data, ensuring it is both meaningfuland practical for a diverse audience. It begins with an introduction to data analyticsin the context of sustainable development. Each chapter explores the different aspectsof data analytics for sustainability, utilizing a state-of-the-art context that is easy tograsp. Key concepts are presented through clear explanations, making them accessibleto all readers. At the end of each chapter is a summary of the main points, allowing forquick reviews of the essential ideas. It provides practical insights into applying dataanalytics concepts toward sustainable development, empowering readers to enhancetheir decision-making abilities, and also discusses a strategic approach aligned withthe vision for 2030 and beyond while addressing the anticipated challenges.

This resource provides support to researchers, scholars, technology practitioners,business analysts, data scientists, and industry professionals worldwide, promotingglobalization and enabling real-life application of findings in their organizations.