Module 1.1Event to decision
Data becomes useful when it keeps meaning from capture to decision.
Prerequisites
- No previous technical background required
- Read the section explanation before using tools
Outcomes
- Explain event to decision in your own words and apply it to a realistic scenario.
- Data becomes useful when it keeps meaning from capture to decision.
- Check the assumption "Definitions are shared" and explain what changes if it is false.
- Check the assumption "Units are explicit" and explain what changes if it is false.
Practice
- Complete one guided exercise and explain your decision in plain language
- Use the recap only after reading the main section
Artefact and failure modes
- A short module note with one key definition and one practical example
- Numbers without meaning. A dataset can be large and still useless. Meaning is what makes data transferable.
- Decision drift. If the decision changes but the metric stays, the system keeps answering an old question.