The capstone project provides an opportunity for organizations, businesses, partners, and learners to collaborate to identify and translate a real problems into an analytics problem. Students can research, apply analytical models, methodologies, and tools learned in the program to analyze data sets to predict trends and challenges, and investigate with the purpose of developing analytics solution for your organization. The project can include elements of data collection & preparation, data modelling and analysis with the potential to include predictive modelling, machine learning implementation, constructing dashboards or spreadsheets, programming, statistical analysis, and a solution deployment plan. Capstone project results/recommendations will be communicated in a report document and a final presentation.

You should submit a high-level proposal/business problem statement including relevant data sets and definitions, a list of acceptable tools (if applicable), and expected deliverables. Business datasets could be provided based on a non-disclosure agreement or in an anonymized/synthetic data format that is relevant to your organization and the project. The capstone course instructors will review the documents to confirm the scope and timing of the proposed problem and its alignment with the capstone course requirements.

Analytics solution may be applicable for (however they are not limited to) the following topics:

1. Customer acquisition and retention
2. Non profit program evaluation and funding
3. Analyzing data
4. Merchandising for trade areas (categories)
5. Quantifying Customer Lifetime Value
6. Determining media consumption (mass vs digital)
7. Reduction of client churn (lower abandonment)
8. Cross-sell and up-sell opportunities
9. Develop high propensity target markets
10. Customer segmentation (behavioural or transactional)
11. New Product/Product line development
12. Market Basket Analysis to understand which items are often purchased together
13. Ranking markets by potential revenue
14. Consumer personification
15. Market research
16. Development or integration of software or databases

Note: Students can sign a NDA, if required.