Analytics Enabled Decision Making

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Abstract

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.

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Sharma, V., Maheshkar, C., & Poulose, J. (2023). Analytics Enabled Decision Making. Analytics Enabled Decision Making (pp. 1–288). Springer Nature. https://doi.org/10.1007/978-981-19-9658-0

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