Application of Big Data and Business Analytics
1st Edition
Published on 4. December 2020
208 pages
978-1-80043-884-2 (ISBN)
Description
Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.
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. With this in mind, Application of Big Data and Business Analytics brings together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.
The primary target audience of this book includes researchers, academicians and data scientists from a variety of disciplines interested in analyzing and application of big data analytics. However, this work will also be of general interest to postgraduates and undergraduates pursuing advanced study in big data.
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. With this in mind, Application of Big Data and Business Analytics brings together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.
The primary target audience of this book includes researchers, academicians and data scientists from a variety of disciplines interested in analyzing and application of big data analytics. However, this work will also be of general interest to postgraduates and undergraduates pursuing advanced study in big data.
More details
Language
English
Place of publication
Bingley
United Kingdom
Target group
Professional and scholarly
File size
4,87 MB
ISBN-13
978-1-80043-884-2 (9781800438842)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
Content
Chapter 1. Data Analytics for Soil Health Management and their Crop Mapping in Satara District Sneha Kumari, Vidya Kumbhar, K. K Tripathy
Chapter 2. Analytics In Metal Sustainability For Recovery Of Non-Renewable Resources Using Low-Cost Biomaterials Nilisha Prashant Itankar, Yogesh Patil, Prakash Rao, Viraja Bhat
Chapter 3. Use of Business Analytics & GIS for Dematerialization of land bank in India and its benefits Girish Joshi, Bindya Kohli
Chapter 4. Using Google Trends in modelling product demand and consumption: Case of UK apparel and footwear demand Tihana Skrinjaric
Chapter 5. Applications of Big Data Analytics - A Boon for Food Industry Vishita Rajesh Khanna
Chapter 6. Importance of Data Analytics in International Trade- A Case of Indian Cotton Ritambhara Singh
Chapter 7. Data Management in India: A Case Study of Aadhaar Project Raj Krishna
Chapter 9. Customer Segmentation using RFM Analysis: Real Case Application on a Fuel Company Irem Ucal Sari, Duygu Sergi, Burcu Ozkan
Chapter 2. Analytics In Metal Sustainability For Recovery Of Non-Renewable Resources Using Low-Cost Biomaterials Nilisha Prashant Itankar, Yogesh Patil, Prakash Rao, Viraja Bhat
Chapter 3. Use of Business Analytics & GIS for Dematerialization of land bank in India and its benefits Girish Joshi, Bindya Kohli
Chapter 4. Using Google Trends in modelling product demand and consumption: Case of UK apparel and footwear demand Tihana Skrinjaric
Chapter 5. Applications of Big Data Analytics - A Boon for Food Industry Vishita Rajesh Khanna
Chapter 6. Importance of Data Analytics in International Trade- A Case of Indian Cotton Ritambhara Singh
Chapter 7. Data Management in India: A Case Study of Aadhaar Project Raj Krishna
Chapter 9. Customer Segmentation using RFM Analysis: Real Case Application on a Fuel Company Irem Ucal Sari, Duygu Sergi, Burcu Ozkan
