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Course Outline
Introduction to Data-Informed Decision-Making
- Core definitions and distinctions: differentiating data-informed from data-driven
- Real-world examples of data-informed decisions in public administration
- Primary sources of evidence commonly used in government contexts
Data Access and Evaluation
- Determining relevant metrics, indicators, and reports
- Assessing data reliability and completeness
- Understanding data lineage and inherent limitations
Formulating the Right Questions
- Structuring decisions and defining information requirements
- Key queries for data teams, analysts, and dashboards
- Clarifying objectives prior to data exploration
Interpreting Data Insights
- Reading tables, visualizations, and dashboards accurately
- Differentiating between correlation and causation
- Identifying gaps, anomalies, and potential biases
Integrating Data into Decision-Making
- Leveraging evidence to support or refine policy recommendations
- Evaluating tradeoffs and risks when data is incomplete
- Documenting decision rationale in memos, briefs, or presentations
Communicating and Defending Decisions
- Narrating data insights for non-technical stakeholders
- Embedding transparency within recommendations
- Addressing scrutiny and challenges with robust evidence
Conclusion and Future Steps
Requirements
- General background in public policy, program implementation, or service management
- Working knowledge of government processes or decision-making protocols
- Ability to interpret charts, reports, and 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.
