Prerequisites: MARK 460 or equivalent and (ISSCM 402N or ISSCM 491); Restricted to Graduate Business students.
In this course students will study how to use data analytics to learn about customer needs and improve targeting individual consumers. The course will encourage students to apply scientific methods and models to predict and respond to customer choices. This is the key part of learning Big Data. The term Big Data is viewed in the broad sense as it relates to various aspects of the consumer behavior, which may be captured, measured, and transformed to the digital form.
Outcomes: Through applications of statistical models to the analysis of the real-world databases, the students will learn how firms may use customer data to serve customers better.
In this course students will study how to use data analytics to learn about customer needs and improve targeting individual consumers. The course will encourage students to apply scientific methods and models to predict and respond to customer choices. This is the key part of learning Big Data. The term Big Data is viewed in the broad sense as it relates to various aspects of the consumer behavior, which may be captured, measured, and transformed to the digital form.
Outcomes: Through applications of statistical models to the analysis of the real-world databases, the students will learn how firms may use customer data to serve customers better.