Shulph Ink
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
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Excellent- More about Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices
Sustainable development is achieved through data analytics and digital technologies, which support sustainable development across all sectors and help achieve the Sustainable Development Goals (SDGs). This book explores how innovations can support sustainable development and highlights techniques, processes, models, tools, and practices used to achieve it.
Format: Hardback
Length: 189 pages
Publication date: 27 September 2022
Publisher: Springer International Publishing AG
Sustainable development is a concept that emphasizes the advancement of societies while preserving their ability to meet future development needs. This book delves into the role of data analytics and digital technologies in ensuring that development initiatives are based on accurate data and information. It explores how innovations driven by digital technologies can contribute to sustainable development across various sectors and dimensions, including social, economic, and environmental aspects, and assist in achieving the Sustainable Development Goals (SDGs). The book also highlights the techniques, processes, models, tools, and practices employed to achieve sustainable development through data analysis.
The book critically examines the various topics covered, considering both theoretical and practical perspectives. It is of particular interest to researchers and students in the fields of applied data analytics, business intelligence, and knowledge management. By leveraging data and digital technologies, societies can make informed decisions and implement sustainable practices that promote the well-being of current and future generations.
Weight: 471g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031125263
Edition number: 1st ed. 2022
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