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Course Outline
Defining Data-Informed Decision-Making
- Distinctions between data-informed and data-driven approaches
- Illustrative examples of data-informed practices in public administration for government operations
- Premier sources of evidence utilized within governmental contexts
Data Acquisition and Evaluation
- Identification of pertinent metrics, performance indicators, and reporting mechanisms
- Assessment of data reliability, integrity, and completeness
- Comprehension of data provenance and inherent constraints
Framing Critical Inquiry
- Structuring decision frameworks and defining informational requirements
- Elicitation of necessary insights from analytical teams, data specialists, and dashboard systems
- Clarification of strategic objectives prior to data analysis
Interpreting Analytical Findings
- Analyzing tabular data, visual representations, and executive dashboards
- Differentiating between correlation and causation
- Identification of data gaps, irregularities, and systemic biases
Integrating Evidence into Policy Actions
- Leveraging empirical evidence to validate or adjust policy recommendations for government use
- Evaluation of potential tradeoffs and risks associated with incomplete data sets
- Documentation of analytical rationale within official memoranda, briefings, or presentations
Communicating and Justifying Outcomes
- Presentation of data-driven narratives tailored to non-technical stakeholders
- Establishment of transparency within proposed recommendations
- Responsive engagement with oversight challenges using verifiable evidence
Summary and Future Actions
Requirements
- Broad background in public policy, operational execution, or service administration
- Understanding of governmental procedures and administrative workflows
- Proficiency in analyzing data visualizations, reports, and performance metrics
Intended Audience for government professionals:
- Policy analysts
- Public administrators and managers
- Government decision-makers and strategic planners
7 Hours
Testimonials (3)
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Equipped with examples