Skip to main content

Sustainable Development Through Data Analytics and Innovation

Techniques, Processes, Models, Tools, and Practices

  • Book
  • © 2022

Overview

  • Collects applied industry-related knowledge and skills
  • Offers contemporary knowledge in business intelligence and analytics
  • Shows how sustainable development can be achieved through data analysis

Part of the book series: Progress in IS (PROIS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

Keywords

About this book

Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis.

The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.

Editors and Affiliations

  • Department of Computing Science, University of Oldenburg, Oldenburg, Germany

    Jorge Marx Gómez

  • Department of Business Analytics, Higher Colleges of Technology, Sharjah, United Arab Emirates

    Lawal O. Yesufu

About the editors

Jorge Marx Gómez is a Full Professor and Chair of Business Information Systems at the Carl von Ossietzky University Oldenburg (Germany). He is furthermore the Director of the Center for Environmental and Sustainability Research (COAST) at Oldenburg University and board member of the Energy Group at OFFIS-Institute at Oldenburg University. His research interests include business information systems, federated ERP-systems, business intelligence, data science, applied AI, interoperability, environmental management information systems, ICT for sustainability and e- and mobile-commerce. Jorge Marx Gómez successfully coordinated several national and international research projects, capacity building and mobility projects (Tempus, Erasmus Mundus, DAAD) and participated in several EU-FP7 projects.

Lawal O. Yesufu is an Assistant Professor of Business, Higher Colleges of Technology, Sharjah (United Arab Emirates). He is the Academic Program Chair of the BusinessAnalytics programme in the Faculty of Business. His research areas comprise business analytics, innovation and organisational psychology in the context of higher education. Dr. Yesufu is a Member of the British Computer Society (BCS), Project Management Institute (PMI) Professional in Business Analysis (PMI-PBA), Academic Fellow of the Chartered Institute of Personnel and Development (CIPD) and Senior Fellow of the Higher Education Academy (HEA).

Bibliographic Information

Publish with us