Analytics Enabled Decision Making (eBook)
XXXIII, 288 Seiten
Springer Nature Singapore (Verlag)
978-981-19-9658-0 (ISBN)
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.
Dr Vinod Sharma is an Associate Professor with Symbiosis Centre for Management and Human Resource Development, Symbiosis International University, Pune. He has over 22 years of experience including both academia and industry, at different levels of management, preparing him to be an effective researcher and instructor. He specialized in Marketing Strategy, Marketing Research & Analytics, and Consumer Behaviour. He has authored over 65 papers in national and international journals and he has also been involved in many consultation research projects, conducted various research workshops, and conducted training programs in association with MSME and FIEO on various subjects of management.
Dr Chandan Maheshkar is a Senior Consultant, East Nimar Society for Education India. He has served several management institutes in Central India including the University of Indore, India, in various academic roles. He obtained his MBA and PhD from DAVV, Indore. In 2014, the University of Indore awarded him a Golden Jubilee Research Scholarship on the occasion of completion of its successful 50 years. Business education, HRD, cross-culture business, and organizational behavior are his core areas of research interests.
Dr Jeanne Poulose is an Associate Professor with School of Business and Management, CHRIST (Deemed to be University), Delhi NCR, India. She obtained a PhD and MPhil in Management and an MBA with a specialization in Finance and Human Resources. She has around 22 years of Industry-Academia experience in the retail, banking, and educational sectors through leadership and teaching roles in organizations like ICICI Bank, GlobalNxt University, St. Joseph's Degree & PG College, etc. She teaches HR Analytics, Agile HR, Organizational Behaviour, and Workforce Planning and Employee Selection.
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.
| Erscheint lt. Verlag | 23.5.2023 |
|---|---|
| Zusatzinfo | XXXIII, 288 p. 54 illus., 36 illus. in color. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik | |
| Schlagworte | Big Data • Business Analytics • Decision Making • Industry 4.0 • Pricing Analytics • Workforce Analytics |
| ISBN-10 | 981-19-9658-X / 981199658X |
| ISBN-13 | 978-981-19-9658-0 / 9789811996580 |
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