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Course Outline
Introduction to Data-Informed Decision-Making
- Key definitions and distinctions: differentiating data-informed from data-driven approaches.
- Examples of data-informed decisions in public administration.
- Common sources of evidence in government contexts.
Accessing and Assessing Data
- Identifying relevant metrics, indicators, and reports.
- Evaluating the reliability and completeness of data.
- Understanding data provenance and limitations.
Formulating the Right Questions
- Framing decisions and defining information needs.
- What to ask of data teams, analysts, or dashboards.
- Clarifying objectives before diving into data.
Interpreting Data Insights
- Understanding tables, visualizations, and dashboards.
- Distinguishing between correlation and causation.
- Identifying gaps, anomalies, and biases.
Applying Data to Real-World Decisions
- Using evidence to support or refine a policy recommendation.
- Weighing tradeoffs and risks with partial data.
- Documenting rationale in memos, briefs, or presentations.
Communicating and Defending Decisions
- Data storytelling for non-technical stakeholders.
- Building transparency into your recommendations.
- Responding to challenges or scrutiny with evidence.
Summary and Next Steps
Requirements
- General experience in public policy, program delivery, or service management.
- Familiarity with government processes or decision-making workflows.
- Comfort in interpreting charts, reports, or key performance indicators.
Audience
- Policy and program analysts.
- Public administrators and managers.
- Government decision-makers and strategic planners.
7 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
