Course: Business Analysis
Topic: Evaluating Information Sources for New Market Entry Decisions
Students act as the analytics team of a medium-sized service company considering entry into a new European market. The company’s management expects a preliminary analysis based on available data on the market, customers, and competitors.
Warm-Up (10 min)
The teacher asks students: How can we tell whether information is credible? Students first write down three criteria that, in their view, indicate the reliability of a source. They then compare their answers in pairs and agree on a shared list of the most important criteria.
Source Audit (20–25 min)
Each team receives a set of 4–5 sources relating to the same market, for example:
• an industry report,
• an academic article,
• a blog post or expert article,
• statistical data,
• marketing material or a consultancy presentation.
The team assesses each source against the agreed criteria, such as authorship, methodology, currency of data, purpose of publication, and whether the information can be verified through other sources. Students record their observations and prepare a brief credibility assessment for each material.
Comparison and Discussion (15–20 min)
Teams present the results of their audit on a shared board or in a collaborative document. The teacher moderates the discussion by asking: Which sources provide the most useful data? Which are the least reliable, and why? Do the different materials lead to similar or conflicting conclusions? The aim of this stage is to show that not all information has the same value in decision-making.
Decision-Making Conclusions (10–15 min)
Each team identifies two sources on which it would base a recommendation to enter the market, as well as one source it would deliberately reject, justifying its decision with reference to the previously agreed evaluation criteria.
Reflection (5 min)
At the end, participants briefly answer the following question in writing: Which evaluation criterion proved most important, and why?
A short discussion helps summarise how conscious assessment of information quality influences business decision-making.