Call for Book Chapters 

Big Data Analytics: Applications in Business and Marketing
Dr. Kiran Chaudhary
Assistant Professor, Department of Commerce, Shivaji College
University of Delhi, New Delhi, India

Dr. Mansaf Alam,
Associate Professor, Big  Data, Cloud Computing and IoT Laboratory
Department of Computer Science,
Jamia Millia Islamia, New Delhi, India

Business and marketing analytics is emerging fields that can be potentially extend the domain of performance management to provide an improved understanding of business dynamics and lead to better decision making. This book focused on marketing and business which is related to usage of data in the manner that can be used to know more about organization and customer how we cater the needs and aspiration of customer and how we can make the best decision by using the data In this book we also suggest the various marketing and business strategies to solve real market and organization challenges
Realizing the importance of data Indian enterprise are leveraging it to enhance customer experience employee productivity and business growth. According to forester insight driven companies will earn $1.8 trillion by 2021. 
The objective of this book is to explore the concept and applications related to marketing and business. Besides this, it shall also provide future research directions in this domain.  Business analytics in marketing helps companies target customer needs by focusing their messaging or timing of a certain product or service on what is best for the consumer. A marketer who wishes to be effective in today’s competitive market must be able to look at the data, understand it, analyses it and then interpret it to create a smart marketing strategy. Big data is also a significant source of information on how consumers use social media to interact with businesses 
Book includes all chapters related to analytics of marketing and business. Business analytics has a wide range of application and usages. It can be used for descriptive analysis in which data is utilized to understand past and present situation. 
Business analytics is also used for prescriptive analysis, which is utilized to formulate optimization techniques for stronger business performance. For example, business analytics is used to determine pricing of various products in a departmental store based past and present set of information
Marketing analytics, specifically web and digital marketing analytics, helps in checking operations and their individual upshots, thus empowering in optimum and efficient use of available resources.
Recommended Topics:
This book will be accepting contributions from various fields. The tentative table of contents is as follows – 
Part I: Introduction
This part deals with basics of big data analytics, big data analytics challenges, business big data analytics Techniques, Applications and uses of big data analytics, big data analytics role in business and marketing. This part further elaborate that how big data analytics fits in business and marketing. This section is expected to serve as a prelude to the book and provide us all background details to understand the other part of books.  
Part II: Applications of Business Analytics
Chapter1. Understanding the business problem 
Chapter2. Big Data analytics and algorithm 
Chapter3. Big Data mining process
Chapter4. Business complexity growing out of globalization 
Chapter5. Business data understanding 
Chapter6. Big Data preparation, modeling and evaluation
Part III: Business Intelligence
Chapter 7:    Life Cycle of Business Analytics Project 
Chapter 8:    Decision support system 
Chapter 9:    Business analytics and performance management 
Chapter 10:  Contribution of business analytics on strategic planning 
Chapter 11:  Business analytics for supply chain 
Part IV: Analytics for Marketing Decision Making 
Chapter 12: Big Data analytics for market intelligence
Chapter 13: Marketing decisions
Chapter 14:  Big data analysis for marketing mix
Chapter 15: Creating value with data analytics 
Chapter 16: Decision making of marketer by data analytics
Chapter 17: Prediction of various stages of life cycle of product 
Chapter 18: Study of consumer behaviour 
Chapter 19: Product /service decisions 
Part V: Digital marketing 
Chapter 20:  Study of patterns related with online marketing
Chapter 21:  Digital marketing data analytics 
Chapter 22:  Prediction of marketing by consumer analytics 
Chapter 23:  Web analytics for digital marketing 
Chapter 24:  Marketing Intelligence for optimum marketing return  
Chapter 25:  Smart retailing 
Chapter 26:  Smart advertising 

Submission Procedure:
Academic scientists, researchers and industrial practitioners are invited to submit chapter proposal for this edited book entitled " Big Data Analytics: Applications in Business and Marketing " to be published in Taylor & Francis.
All submissions must be original and should not be under review by another publication. Authors should make sure that their submission has 15% or lower similarity as per iThenticate or Turnitin. All submitted chapter will be reviewed on a double-blind, peer review basis. The book chapters should contain 15-20 pages of content as per the Taylor & Francis format.

Manuscript Preparation:
Please prepare the manuscript according to the following guidelines:

Submission of chapter(s) via the following link

If you face problem in uploading, please send it via following e-mail:

Important Dates:
Abstract Submission: 21st December 2020
Full Chapter Submission:  Feb 15, 2021
Notification to Authors:  March 1, 2021
Submission of the Revised Versions: 15th March 2021
Final Acceptance Notification: 28th March 2021

Dr. Kiran Chaudhary
M:+ 9650998578
Department of Commerce, Shivaji College, 
University of Delhi, New Delhi, India

Dr. Mansaf Alam
M:+91 9810650497
Big Data, Cloud Computing and IoT Laboratory
Department of Computer Science,
Jamia Millia Islamia, New Delhi, India