Automobile Purchasing Behaviorial Data Collection, Management, and Analysis

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to gather region, product types, and consumer market segment specific information relevant to the partner organization. Customizable tools for data collection and analysis are to be designed, implemented and deployed in collaboration with the partner organization. If meaningful analysis results are obtained, a recommendation system can be designed to match a client’s behavior to potential products of their desire, and targeted marketing and promotion schemes can be devised.

Faculty Supervisor:

Kin Fun Li

Student:

Linlin Zhang

Partner:

VINN Auto

Discipline:

Engineering - computer / electrical

Sector:

Information and cultural industries

University:

University of Victoria