How can a small enterprise understand which activities create value without losing sight of its customers and cash needs?
The academic starting point
Students connect accounting, business models and data analysis. They practise distinguishing cash from profit, testing assumptions and communicating uncertainty in everyday language.
The industry or community challenge
An illustrative owner brief asks a team to compare two service options using a consented, appropriately anonymised dataset or a teaching dataset. The task is decision support, not a promise of growth or investment advice.
The departmental enterprise connection
A departmental advisory enterprise could provide a supervised diagnostic workshop, scenario model and action brief. The owner retains responsibility for business decisions.
Inside the work
Understand the organisation
Map the customer, value proposition and constraints. Agree the question the model should help answer.
Check the evidence
Review data quality and document missing information. Separate observations from assumptions.
Compare scenarios
Test how demand, costs and timing change the result. Explain which assumptions matter most.
Present a usable recommendation
Translate analysis into clear choices, risks and questions for the owner to investigate next.
What a team could produce
- A scoped enterprise brief
- A documented scenario model
- A concise decision presentation
- A reflective review of assumptions
A sophisticated spreadsheet is only useful when the person making the decision can understand it, question it and use it responsibly.
