Sustainable Development Through Data Analytics and Innovation - Techniques, Processes, Models, Tools, and Practices (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Progress in IS
Release date:	September 2022
First published:	2022
Editors:	Jorge Marx Gomez • Lawal O. Yesufu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	189
Edition:	1st ed. 2022
ISBN-13:	978-3-03-112526-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management of specific areas > General Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Earth & environment > The environment > Environmental economics > Sustainability Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-03-112526-6
Barcode:	9783031125263

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