
Marketing Analytics
Description
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This volume gives a comprehensive overview of marketing analytics, incorporating machine learning methods of data analysis that automates analytical model building. The volume covers the important aspects of marketing analytics, including segmentation and targeting analysis, statistics for marketing, marketing metrics, consumer buying behavior, neuromarketing techniques for consumer analytics, new product development, forecasting sales and price, web and social media analytics, and much more.
This well-organized and straight-forward volume will be valuable for marketers, managers, decision makers, and research scholars, and faculty in business marketing and information technology and would also be suitable for classroom use.
Reviews / Votes
"An interesting and novel book that deals with marketing analytics in modern organizations. It presents in accessible form complex information and theoretical perspectives that are often difficult to grasp for the non-marketing expert. The book is particularly significant due to its breadth of coverage. It touches on all essential aspects of machine learning and marketing analytics. If you are a marketing professional, researcher, or student interested in marketing analytics and machine learning, then this book is for you. I have read a number of books in the field, but this book draws my attention because it is comprehensive and well-constructed."-Prof. Dieu Hack-Polay, Professor of Management, Crandall University, Canada; Associate Professor of Organizational Studies, University of Lincoln, UK
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Persons
Dr. P. Mary Jeyanthi is Associate Professor at the Jaipuria Institute of Management, Jaipur, Rajasthan, India. She has a decade of industry experience as an information technology professional in the banking sector at HDFC Bank Ltd, Business Intelligence Unit, Chennai, Tamil Nadu, India, as well as expertise in business intelligence and forecasting analytics. Dr. Jeyanthi has published many research papers in various national and international reputed journals and has conducted several workshops on research methodology and business intelligence. She has been invited as a speaker at intercollege symposiums and summits across India. She also acts as a resource person for many colleges for soft skills training and workshops related to research paper writing. Dr. Jeyanthi has contributed many articles in magazines related to building human capital and business analytics. She has expertise in the novelty approach of writing and managing analytics with real-time scenarios. Her research interests are in business intelligence and analytics, artificial intelligence, big data analytics, management information systems, data analysis, and business models. Dr. Jeyanthi has done research on A New Implementation of Mathematical Models with Metaheuristic Algorithms for Business Intelligence and has worked on business intelligence and analytics initiatives on high net worth (HNW) portfolios, for which she is responsible for the creation and execution of strategies.
Content
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