Analytics Enabled Decision Making
subject: Big Data; Business Analytics; Decision Making; Industry 4.0; Pricing Analytics; Workforce Analytics
description: Analytics is changing the landscape of businesses across sectors globally. This has led to the stimulation of interest of scholars and practitioners worldwide in this domain. The emergence of big data, has fanned the usages of machine learning techniques and the acceptance of Analytics Enabled Decision Making. This book provides a holistic theoretical perspective combined with the application of such theories by drawing on the experiences of industry professionals and academicians from around the world. The book discusses several paradigms including pattern mining, clustering, classification, and data analysis to name a few. The main objective of this book is to offer insight into the process of decision-making that is accelerated and made more precise with the help of analytics. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
creator: Sharma V.; Maheshkar C.; Poulose J.
source: Analytics Enabled Decision Making, pp. 1-288.
publisher: Springer Nature
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 978-981199658-0; 978-981199657-3
format: Online
language: English
type: Book
coverage: Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Maharashtra, Pune, India; Maheshkar C., East Nimar Education Society, Madhya Pradesh, Indore, India; Poulose J., CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, India