Big Data
Business Analytics
Category=UNC
Data Analytics
Data Science
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Predictive Analytics
Product details
- ISBN 9781800438774
- Weight: 423g
- Dimensions: 152 x 229mm
- Publication Date: 04 Dec 2020
- Publisher: Emerald Publishing Limited
- Publication City/Country: GB
- Product Form: Hardback
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Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big data and business analytics are increasingly essential in better decision making.
This edited work explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. Data Science and Analytics brings together researchers, engineers and practitioners to encompass a wide and diverse range of topics in a wide range of fields.
The book will provide unique insights to researchers, academics and data scientists from a variety of disciplines interested in analyzing and application of big data analytics, as well as data analysts, students and scholars pursuing advanced study in big data.
This edited work explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. Data Science and Analytics brings together researchers, engineers and practitioners to encompass a wide and diverse range of topics in a wide range of fields.
The book will provide unique insights to researchers, academics and data scientists from a variety of disciplines interested in analyzing and application of big data analytics, as well as data analysts, students and scholars pursuing advanced study in big data.
Dr. Sneha Kumari is Assistant Professor at Vaikunth Mehta National Institute of Cooperative Management (VAMNICOM), Pune. She has published around 40 articles in peer reviewed journal and has attended several national and international conferences.
Dr. K.K. Tripathy is an Officer of the Indian Economic Service (IES), Government of India. He has published around 70 research articles and has attended several international and national conferences. His main areas of research are rural development, microfinance and agriculture.
Dr. Vidya Kumbhar is an Assistant Professor at the Symbiosis Institute of Geoinformatics, Pune, India.
Dr. K.K. Tripathy is an Officer of the Indian Economic Service (IES), Government of India. He has published around 70 research articles and has attended several international and national conferences. His main areas of research are rural development, microfinance and agriculture.
Dr. Vidya Kumbhar is an Assistant Professor at the Symbiosis Institute of Geoinformatics, Pune, India.
