Essentials of marketing analytics /
Joseph F. Hair, Jr., University of South Alabama, Dana E. Harrison, East Tennessee State University, Haya Ajjan, Elon University.
- International student edition
- xviii, 462 pages : color illustrations ; 26 cm.
Includes bibliographical references and index.
PART ONE: OVERVIEW OF MARKETING ANALYTICS AND DATA MANAGEMENT Chapter 1: Introduction to Marketing Analytics Chapter 2: Data Management PART TWO: EXPLORING AND VISUALIZING DATA PATTERNS Chapter 3: Exploratory Data Analysis Using Cognitive Analytics Chapter 4: Data Visualization PART THREE: ANALYTICAL METHODS FOR SUPERVISED LEARNING Chapter 5: Regression Analysis Chapter 6: Neural Networks Chapter 7: Automated Machine Learning PART FOUR: ANALYTICAL METHODS FOR UNSUPERVISED LEARNING Chapter 8: Cluster Analysis Chapter 9: Market Basket Analysis PART FIVE: EMERGING ANALYTICAL APPROACHES Chapter 10: Natural Language Processing - Text Mining and Sentiment Analysis Chapter 11: Social Network Analysis Chapter 12: Web Analytics
"We developed this new book with enthusiasm and great optimism. Marketing analytics is an exciting field to study, and there are numerous emerging opportunities for students at the undergraduate level, and particularly at the master's level. We live in a global, highly competitive, rapidly changing world that is increasingly influenced by digital data, expanded analytical capabilities, information technology, social media, artificial intelligence, and many other recent developments. We believe this book will become the premier source for new and essential knowledge in data analytics, particularly for situations related to marketing decision making that can benefit from marketing analytics, which is likely 80 percent of all challenges faced by organizations"--
College of Business and Accountancy Bachelor of Science in Business Administration Major in Marketing Management