Courses
ISEM4017 Consumer Insight: Online Customer Data Analytics and Machine Learning Approaches (3 units)
- Prerequisite:
- ISEM3035 Introduction to Business Data Analytics and Visualization or equivalent data analytics/programming courses or Business Computing and Data Analytics Major Year 3 Standing
- Medium of Instruction:
- English
The proliferation and advance of information technologies create expanded opportunities for companies to gain consumer insights. This course introduces different customer data collection approaches, including web data, and focuses on how data collected are put to work improving marketing performance and customer service.
The course includes topics related to fundamental issues of customer data management and customer knowledge management, customer data collection methods, web data collection tools and techniques, measurement and analysis of customer data, evaluation of online marketing campaigns from which enable companies to acquire, convert, and retain customers. This course also covers the topic of machine learning and its application in the consumers’ data analytics.
Learning in this course will be accomplished through lectures, case studies, in-class exercises, group project and presentations, and research papers.