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(Ebook) Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications by Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, (Eds.) ISBN 9781032039046, 9781032039060, 1032039043, 103203906X

  • SKU: EBN-49415906
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Instant download (eBook) Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications after payment.
Authors:Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, (Eds.)
Pages:275 pages.
Year:2023
Editon:1
Publisher:CRC Press
Language:english
File Size:7.72 MB
Format:pdf
ISBNS:9781032039046, 9781032039060, 1032039043, 103203906X
Categories: Ebooks

Product desciption

(Ebook) Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications by Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, (Eds.) ISBN 9781032039046, 9781032039060, 1032039043, 103203906X

Data Analytics is an evolving phenomenon that showcases the increasing importance of using a huge volume of data and showing how it can be used to generate value for the business. The advances in Data Analytics (BA) have offered great opportunities for organizations to innovate and develop new or improve existing products/services. This book will uncover stimulus for innovative business solutions covering all aspects of business analytics such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, and mathematical and statistical techniques.The book will present a valuable collection of chapters exploring and discussing the framework, practices, and applications of data analytics and business intelligence that can assist industries in decision-making, problem-solving, and gaining a competitive advantage.The book has been divided into three sections, wherein the first section is dedicated to chapters based on operations and supply chain analytics and the second section is a compilation of chapters related to data mining, computational framework, and practices, and the third section is based on business intelligence and analytics applications.
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