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Course Outline
Introduction to Data-Informed Decision-Making
- Core definitions and distinctions: differentiating data-informed from data-driven approaches.
- Illustrative examples of data-informed decisions in public administration.
- Common evidence sources within government contexts.
Data Access and Evaluation
- Identifying relevant metrics, indicators, and reports.
- Assessing the reliability and completeness of data.
- Comprehending data provenance and inherent limitations.
Asking the Right Questions
- Defining decision frameworks and information requirements.
- Key inquiries for data teams, analysts, or dashboards.
- Clarifying objectives prior to deep data analysis.
Interpreting Data Insights
- Analyzing 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 policy recommendations.
- Evaluating tradeoffs and risks when working with partial data.
- Documenting rationale in memos, briefs, or presentations.
Communicating and Defending Decisions
- Data storytelling techniques for non-technical stakeholders.
- Embedding transparency within recommendations.
- Addressing challenges or scrutiny with robust evidence.
Summary and Next Steps
Requirements
- General background in public policy, program delivery, or service management.
- Familiarity with government procedures or decision-making workflows.
- Proficiency in interpreting 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.
