Course Outline

  1. Introduction: The Power of Data in Decision Making
    1. The significance of data-driven decision-making in modern organizations.
    2. Real-world examples demonstrating how data has transformed various sectors for government and private entities.
  2. Ensuring Data Integrity: Trusting Your Data
    1. Definition of data integrity and its importance for government operations.
    2. Factors influencing data integrity, including accuracy, consistency, and timeliness.
    3. Steps to ensure and validate the reliability of data for government use.
    4. Real-life consequences of decisions based on unreliable data in public sector contexts.
  3. The Art and Science of Data Interpretation
    1. Introduction to Key Performance Indicators (KPIs): Definition and significance for government agencies.
    2. Reading and understanding various types of graphs and charts used in public sector reporting.
    3. Identifying trends, patterns, and outliers in datasets relevant to government operations.
    4. Practical exercises: Interpreting sample graphs and charts specific to government data sets.
  4. Recording Performance Data: Starting from Scratch
    1. The necessity of recording data for identifying gaps in public sector processes.
    2. Steps to initiate data recording within government departments.
    3. Deciding which metrics are essential to record for effective governance.
    4. Methods and tools for data recording tailored to government needs.
    5. Ensuring consistency and standardization in the data recording process for government agencies.
  5. Data Storytelling: Turning Numbers into Narratives
    1. The importance of data storytelling in public sector communication.
    2. Basic data analysis techniques to enhance effective storytelling for government audiences.
    3. An overview of data visualization techniques, including the use of visuals to clarify complex information for government stakeholders.
    4. Case studies: Examples of successful and unsuccessful data storytelling in government contexts.
  6. Understanding KPIs: Leading vs. Lagging Indicators
    1. Definition and distinctions between leading and lagging KPIs for government use.
    2. Benefits and limitations of each type of KPI in the public sector.
    3. Guidance on selecting the appropriate KPI to align with specific government objectives.
    4. Examples of leading and lagging KPIs across various government agencies.
    5. Workshop: Aligning government goals with relevant KPIs.
  7. Course Wrap-up and Final Thoughts
    1. The integration of data into daily government processes.
    2. Promoting a culture of data-driven decision-making within government agencies.
    3. Emphasizing the importance of continuous learning and staying updated with data trends and technologies for government professionals.
  8. Assessment/Feedback
    1. A short quiz to assess knowledge retention among government participants.
    2. A feedback form to evaluate course effectiveness and gather suggestions for improvement from government attendees.
 14 Hours

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