Sustainable Development Through Data Analytics and Innovation

Techniques, Processes, Models, Tools, and Practices de

,

Éditeur :

Springer


Collection :

Progress in IS

Paru le : 2022-09-26

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Description


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.
Pages
189 pages
Collection
Progress in IS
Parution
2022-09-26
Marque
Springer
EAN papier
9783031125263
EAN PDF
9783031125270

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
3748 Ko
Prix
147,69 €
EAN EPUB
9783031125270

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
9185 Ko
Prix
147,69 €