Gain deep insights into markets and customer behaviour

Our students can analyse your customer data using advanced analytics and machine learning techniques to identify segments, predict behaviour, and provide actionable insights. 

Your project may focus on: 

• Customer segmentation using clustering and classification methods, or 
• Churn prediction and retention modelling, or 
• Customer lifetime value analysis and prospect targeting 

The specific focus will be determined through further discussions and would be based on your data availability and business priorities. 

Ideal for:

• Businesses wanting to improve customer targeting 
• Organisations seeking to reduce customer churn 
• Companies with customer data requiring advanced analysis 
• Businesses needing predictive insights for marketing decisions 
  

Students offer fresh perspectives informed by current academic knowledge. Projects are completed as part of their learning and provide exploratory insights rather than professional consulting advice. 

When you express interest, we will evaluate if your specific project is compatible with the academic knowledge and capabilities of our students and our course learning objectives. 

If your project is accepted, it will go into a queue to be allocated to a student or student team. 

Projects are completed during our academic semesters or quarters, with students spending 8-10 weeks working on the project.