This hands-on Introduction to Decision Analysis gives you the tools required to make better, more informed and justifiable decisions. The focus is on thinking creatively about issues and then applying structured, formal analysis to spur action. A range of tools are considered, providing a comprehensive toolkit for those willing to enhanced the effectiveness of their organizational, or personal, decision-making.
The focus of this course is on lightweight, rapid, "agile" modelling---cycling rapidly between problem, definition, analysis, conclusions and actions. Emphasis is placed on structuring of assumptions, as opposed to mathematical modelling.
The course does not provide a "deep dive" into the techniques presented. It is intended to give you an overview of the field and act as a foundation for deeper study of the techniques that are most appropriate to your current and/or future decision-making needs.
You Will Learn How To:
- Structure your decision analysis projects
- Understand and interpret uncertainty
- Recognize and mitigate psychological biases
- Uncover cause and effect relationships
- Evaluate alternatives using multi-criteria decision analysis
- Peer into the future using forecasting
- Apply game theory to develop strategy in the face of competition
- Explore complex issues using network analysis and simulation
- Leverage the benefits, and avoid the pitfalls, of teams in the decision-making process
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Requirements
Participants should be familiar with Microsoft Excel and be able to understand basic mathematical concepts (high-school level).
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Who Should Attend this Course
Anyone who is involved in decision-making! Including those who are looking to make important personal decisions, or those who support decision-makers.
Executives (decision-makers), project managers, strategy analysts, business analysts are data scientists are all formal job roles that would obviously benefit from the course, but everyone is involved in making decisions at some level. Participants should be familiar with Microsoft Excel.