Data analytics and business intelligence : computational frameworks, practices, and applications

editors: Vincent Charles, Programme Director for MSc Applied Artificial Intelligence and Data Analytics School of Management, University of Bradford, Bradford, United Kingdom, Pratibha Garg, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India, Neha Gupta, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India, Mohini Agarwal, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India

"Business Analytics, one of the most popular research areas today, is driven by expanding requisites from the real world. This book reveals advances in data analytics and business intelligence that can assist industries in problem-solving exercises, with a view to driving competitive advantage. The book contains a wide range of knowledge, insights, and directions that can help master the analytics skills needed to improve, innovate, and formulate new or existing processes, products, and services. In addition, this book demonstrates how to go beyond conventional analytical tools to reach the depth of the data and how the insights derived can be used for decision-making and for telling compelling stories"--

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Year of publication:	2023 ; First edition
Other Persons:	Charles, Vincent (ed.) ; Garg, Pratibha (ed.) ; Gupta, Neha (ed.) ; Agarwal, Mohini (ed.)
Publisher:	Boca Raton : CRC Press, Taylor & Francis Group
Subject:	Betriebliches Informationssystem \| Business intelligence system \| Data Analytics \| Data analytics \| Datenanalyse \| Business Intelligence \| Wettbewerbsvorteil
Description of contents:	Table of Contents [gbv.de] ; Abstract [routledge.com]

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Extent:	xiii, 260 Seiten Illustrationen 24 cm
Series:	A Science Publishers book
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Aufsatzsammlung
Language:	English
Notes:	Includes bibliographical references and index
ISBN:	978-1-032-03904-6 ; 978-1-032-03906-0 ; 978-1-003-18964-0
Other identifiers:	10.1201/9781003189640 [DOI]
Classification:	Betriebliche Information und Kommunikation
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014467228