Sector 03
Business management
200 learners, 267 workshop hours, 6 modules
In management, artificial intelligence arrives exactly where decisions are made: sales forecasts, customer service, competitor analysis. The risk is that the tool answers in a confident tone even when it has no grounds to. We teach people to use it as support rather than as an oracle.
What employers asked for
- Business intelligence, named by 44 per cent of surveyed companies
- Data-driven decision making, 41 per cent
- Customer service automation, 39 per cent
Figures from the preliminary needs analysis carried out in January 2024 among 120 stakeholders in Poland, Czechia and Slovakia. The full needs analysis run inside the project reports in February 2027.
What the six modules cover
- Business intelligence and dashboards that someone actually reads
- Sales and demand forecasting, and the limits of such forecasts
- Customer service automation and the point where a human must take over
- Market and competitor analysis based on public data
- Protecting customer data when using external tools
- Accountability for a decision taken with an algorithm involved
What a participant can do afterwards
- Build a simple management dashboard and explain what follows from it
- Judge whether a tool's forecast is credible in a given situation
- Recognise when customer data must not go into an external tool
Exercises are based on cases from companies working with the project partners, prepared as case studies.
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