Name: Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices (en Inglés)
SKU: 57580046
Price: 2766.94 MXN
Availability: InStock
Author: Marx Gómez, Jorge ; Yesufu, Lawal O.
ISBN: 9783031125294

portada Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices (en Inglés)

Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Marx Gómez, Jorge ; Yesufu, Lawal O.

Idioma

Inglés

N° páginas

189

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.1 cm

Peso

0.29 kg.

ISBN13

9783031125294

Categorías

Gestión y técnicas de gestión
Investigación operativa
Probabilidad y estadística
Software empresarial

Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices (en Inglés)

Marx Gómez, Jorge ; Yesufu, Lawal O. (Autor) · Springer · Tapa Blanda

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Reseña del libro "Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices (en Inglés)"

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.