Learning Objectives
- Use data analysis techniques and tools.
- Break down complex problems and situations into smaller, manageable components.
- Visualize data.
- Evaluate and makes decisions in accordance with data analysis
- Demonstrate knowledge of the benefits and risks of a chosen decision by setting up or recommending plans to mitigate or strengthen decisions.
- Implement a data-driven decision-making project.
Modules
- Understand the context
- Win-Win decisions
- Problem-solving model overview
- Decision-making process
- Types of information
- Methods of gathering information
- Key questions to ask
- Data interpretation
- Bad data
- Developing a problem statement
- Distinguishing between symptoms and causes
- Fishbone diagram / “Ishikawa Diagram”
- Possible causes – interrelationship diagrams
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- The Thinking mechanism, group thinking, brainstorming, brainwriting, affinity diagrams, the six thinking hats, the wheel of multiple perspectives, concept fans, and nominal grouping
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- Deciding how to decide
- Grid analysis (weighted worksheet)
- The Decision Matrix
- Paired comparison analysis
- The morphological Matrix
- Force field analysis
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