Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices

Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices

Author
Jorge Marx Gómez, Lawal O. Yesufu
Publisher
Springer
Language
English
Edition
1
Year
2022
Page
199
ISBN
9783031125270,9783031125263
File Type
epub
File Size
9.0 MiB

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.

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