Sustainable development through data analytics and innovation : techniques, processes, models, tools, and practices / Jorge Marx Gómez, Lawal O. Yesufu, editors.
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 i...
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| Other Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
2022.
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| Series: | Progress in IS.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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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| Physical Description: | 1 online resource : illustrations. |
| ISBN: | 3031125266 9783031125263 3031125274 9783031125270 |