Your organization will need to provide relevant datasets, background information, and a high-level business question, opportunity, or challenge. Although it is the responsibility of the students to develop an appropriate analytical solution to the business problem you provide, it would be helpful if you select a business question, opportunity, or challenge is amendable to a data-driven solution (to the best of your knowledge)

Project Examples

Students can create data analytics solutions and models to assist with:

1. Forecasting (sales, demand, market conditions)
2. Developing a dashboard or reporting solution to provide actionable insights
3. Improving customer retention
4. Quantifying Customer Lifetime Value
5. Predicting various events of interest (fraud, misdiagnosis)
6. Getting customers to purchase more premium (up-sell) products
7. Getting customers to purchase across multiple categories (cross-sell)
8. Finding the best customers for a Direct Marketing initiative
9. Customer segmentation (behavioural or transactional)
10. Social Network Analysis (understand influencers, customer relations)
11. Understanding customer sentiment and what they are talking about (topic modelling)
12. Recommender systems for various items (movies, products, etc.)
13. Market Basket Analysis to understand which items are often purchased together
14. Predicting or forecasting a numeric value of interest (home prices, population)
15. Visualize buyers and buyers habits over time

This project can encompass a wide range of topics that require data-driven decision making. If you are interested in determining if your use case would be applicable to this project please submit your project proposal to connect with the instructor.

To ensure students’ learning objectives are achieved, we recommend that the you complete a "client and data assessment" form