Course Outline
Principles of Evidence-Based Governance
- The function of data in organizational stewardship
- Utilizing data to support operational execution and strategic planning
- Distinguishing between empirical evidence and subjective judgment in public sector entities
- Common methodological errors in data utilization
2. Data origins and attributes
- Categorization of transactional, operational, and reference datasets
- Internal agency records versus external public data sources
- Differentiating structured records from unstructured information
3. Data integrity and its influence on governance outcomes
- Ensuring completeness, consistency, timeliness, and precision
- Identification of standard data integrity defects
- Consequences of compromised data on analytical reliability
4. Core methods for analytical inquiry
- Descriptive statistical methods
- Comparative assessment techniques
- Analysis of long-term trends and seasonal variances
- Segmentation of data populations
5. Key Performance Indicators (KPIs) and governance metrics
- Defining the distinction between KPIs and general operational metrics
- Criteria for selecting appropriate performance indicators
- Addressing the inefficiencies of excessive metric tracking
Strategic Insights and Policy Recommendations
- Interpretation of analytical findings
- Contextualizing data within the operational environment
- Differentiating statistical correlation from causal relationships
- Detection of significant patterns and statistical outliers
2. Advanced analytical frameworks
- Scenario modeling and projection
- Root cause analysis (RCA) procedures
- Deriving inferences from incomplete data sets
3. Effective data visualization
- Standards for clear and accurate visual representation
- Matching visualization formats to specific data types
- Avoiding common errors in the presentation of results
4. Articulating strategic insights
- Definition of actionable governance insights
- The transition from raw data to definitive conclusions
- Structuring logical and evidence-based insights
5. Data-supported recommendations
- Aligning analytical data with policy and operational context
- Assessing the risks and constraints of proposed actions
- Presenting recommendations to senior decision-makers
Requirements
- Proficiency in Microsoft Excel or equivalent spreadsheet applications.
- Familiarity with reviewing operational or business reports.
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Foundational knowledge of descriptive statistics is beneficial.
Target Audience
- Business and Systems Analysts.
- Consultants and Strategic Policy Specialists.
- Managers and team leads responsible for evidence-based decision-making.
- Reporting and Business Intelligence (BI) Specialists.
Testimonials (2)
Equipped with examples
Bobby Darmawan - Indonesia Financial Group
Course - Digital Insurance Business (Insurtech)
Friendly, plenty of breaks to think about what we have learnt and lovely guy.