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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 within government contexts.
Accessing and Assessing Data
- Identifying relevant metrics, indicators, and reports.
- Evaluating the reliability and completeness of data.
- Understanding data provenance and limitations.
Framing the Right Questions
- Defining decision parameters and information needs.
- What to ask data teams, analysts, or dashboards.
- Clarifying objectives before analyzing data.
Interpreting Data Insights
- Reading tables, visualizations, and dashboards.
- Distinguishing between correlation and causation.
- Identifying gaps, anomalies, and biases.
Applying Data to Practical Decisions
- Using evidence to support or refine policy recommendations.
- Evaluating trade-offs and risks with incomplete data.
- Documenting the rationale in memos, briefs, or presentations.
Communicating and Justifying Decisions
- Data storytelling for non-technical stakeholders.
- Incorporating transparency into recommendations.
- Addressing challenges or scrutiny with evidence-based responses.
Summary and Next Steps
Requirements
- General background in public policy, program delivery, or service management.
- Familiarity with government procedures or decision-making workflows.
- Ability to interpret charts, reports, or key performance indicators.
Target 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.
