Overview
- Explains concepts and theory of usage of analytics in business decision making using practical real word examples
- Includes case studies and professional experience stories related to usage of big data and AI applications in business
- Provides a balanced perspective with contributions from experienced industry practitioners as well as academicians
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About this book
This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics.
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Keywords
Table of contents (13 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
About the editors
Dr. Jeanne Poulose is an Associate Professor of Management at the School of Business and Management, CHRIST (Deemed to be University), Delhi NCR, India. She has an MBA, M. Phil, and PhD in Management. She has around 22 years of Industry-Academic experience in the retail, banking, and educational sectors. She teaches Organisational Behaviour, HR Metrics and Analytics, Agile HR and IHRM.
Dr. Vinod Sharma, an Associate Professor of Management at Symbiosis Centre for Management and Human Resource Development (SCMHRD) in Pune, boasts 23 years of rich experience spanning academia and industry. His diverse management roles equip him to excel as both a researcher and instructor. Dr. Sharma's expertise lies in Marketing Research & Analytics, Marketing Strategy, and Consumer Behaviour. With over 85 authored papers and 3 completed international projects, he's a prolific academician. Additionally, he has facilitated numerous management development programs for prestigious organizations such as IOC, NIBSCOM, MSME, and FIEO.
Dr. Chandan Maheshkar has 14 years of experience in management education and research. He is associated with several management institutes in central India including the University of Indore in various capacities. As a Senior Consultant, he has served the Centre for Internal Quality Assurance (CIQA), Madhya Pradesh Bhoj (Open) University, Bhopal, India. In 2014, the University of Indore awarded him the Golden Jubilee Research Scholarship. Business education, HRD, and Cross-Culture Business are his core areas of research interests.
Bibliographic Information
Book Title: Data-Driven Decision Making
Editors: Jeanne Poulose, Vinod Sharma, Chandan Maheshkar
DOI: https://doi.org/10.1007/978-981-97-2902-9
Publisher: Palgrave Macmillan Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-97-2901-2Published: 28 July 2024
Softcover ISBN: 978-981-97-2904-3Due: 11 August 2025
eBook ISBN: 978-981-97-2902-9Published: 27 July 2024
Edition Number: 1
Number of Pages: XXIV, 313
Number of Illustrations: 15 b/w illustrations, 35 illustrations in colour
Topics: Operations Research/Decision Theory, Statistics for Business, Management, Economics, Finance, Insurance, Statistics, general, Financial Engineering, Business and Management, general, Artificial Intelligence