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 Duration 14 hours

Course Outline

  1. Introduction: The Power of Data in Decision Making
    1. The significance of evidence-based decision-making in contemporary operational environments.
    2. Case studies illustrating how data utilization has driven organizational transformation.
  2. Ensuring Data Integrity: Trusting Your Data
    1. Defining data integrity and establishing its foundational importance for governance.
    2. Critical determinants of data integrity, including accuracy, consistency, and timeliness.
    3. Procedural steps to verify and validate the reliability of information sources for government accountability.
    4. Analysis of adverse outcomes resulting from decisions based on unverifiable or erroneous data.
  3. The Art and Science of Data Interpretation
    1. Fundamentals of Key Performance Indicators (KPIs): Definitions and operational relevance.
    2. Techniques for accurately interpreting various graphical and chart-based representations.
    3. Methods for identifying trends, recurring patterns, and statistical outliers within datasets.
    4. Practical applications: Analyzing representative graphs and charts to derive actionable insights.
  4. Recording Performance Data: Starting from Scratch
    1. The necessity of systematic data collection: Identifying operational gaps in the absence of historical records.
    2. Initial steps to establish data recording protocols within specific departments.
    3. Criteria for selecting appropriate performance metrics to capture.
    4. Evaluation of suitable methodologies and tools for systematic data capture for government use.
    5. Strategies to maintain consistency and standardization throughout the data recording lifecycle.
  5. Data Storytelling: Turning Numbers into Narratives
    1. The role of narrative data presentation in effective professional and public sector communication.
    2. Foundational data analysis techniques to support coherent and compelling narratives.
    3. Overview of visualization strategies: Leveraging visual elements to enhance message clarity.
    4. Evaluative case studies: Comparing effective and ineffective examples of data-driven communication.
  6. Understanding KPIs: Leading vs. Lagging Indicators
    1. Distinguishing definitions and functional differences between leading and lagging performance indicators.
    2. Assessing the strategic benefits and inherent limitations of each indicator category.
    3. Guidelines for aligning KPI selection with specific operational and strategic objectives.
    4. Examples of leading and lagging KPIs applicable across various public and private sectors.
    5. Practical workshop: Aligning organizational goals with measurable and relevant performance indicators.
  7. Course Wrap-up and Final Thoughts
    1. Integrating data analytics into routine administrative and operational workflows.
    2. Fostering an institutional culture dedicated to evidence-based decision-making.
    3. Committing to continuous professional development and monitoring emerging data trends and technologies.
  8. Assessment/Feedback
    1. Comprehensive quiz to evaluate knowledge retention and understanding.
    2. Structured feedback mechanism to assess program effectiveness and collect recommendations for enhancement

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