• Problem: Bank clients default on their loan, too many to immediately follow-up. 
• Objective: Identify groups who do not need urgent help and those who can benefit significantly from help through the use of AI and analytics. 

• Problem: Difficult to plan personnel due to fluctuations in demand in restaurants in hotel chains.
• Objective: Predict demand using internal data (sales etc.) and external weather data (KNMI).

• Problem: What are the best locations for new health centres? 
• Objective: Identify optimal locations to minimise travel time for the whole population.

• Problem: How much shelf space should be allocated to different products? 
• Objective: Allocate optimal shelf space based on forecasted demand using historic sales data.

Do you have data readily available, and a fairly specific business question? Our Business Analytics students could help you with your data challenges faced in your organisation and write their thesis based on this data challenge. 

• Let our student groupsy solve your data challenge – get multiple innovative solutions.
• Duration: 12 weeks in the spring.
• Costs: There are no costs attached to this project. You will only need to share data and invest a few hours to explain your challenge.

Do you have business analytics questions but lack the time to solve them? Work with us to collaborate on an analytics project in which we will analyse existing and possibly newly collected data and provide you with actionable insights.

• We take your AI challenges and develop actionable solutions.
• Duration: a few months for masters research, and up to 4 years for PhD projects
• Cost: Pay for students’ research time, share data and invest time to collaborate.