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Course Outline

  1. Introduction: The Power of Data in Decision Making
    1. The critical role of data-driven decision-making in contemporary business environments.
    2. Real-world instances illustrating how data has driven organisational transformation.
  2. Ensuring Data Integrity: Trusting Your Data
    1. Defining data integrity and understanding its significance.
    2. Key factors impacting data integrity, such as accuracy, consistency, and timeliness.
    3. Procedures to verify and validate the credibility of data sources.
    4. The real-world impact of decisions based on unreliable data.
  3. The Art and Science of Data Interpretation
    1. An introduction to Key Performance Indicators (KPIs), including their definitions and importance.
    2. How to read and comprehend various types of graphs and charts.
    3. Spotting trends, patterns, and outliers within datasets.
    4. Practical exercises focused on interpreting sample graphs and charts.
  4. Recording Performance Data: Starting from Scratch
    1. The necessity of data recording: Identifying gaps when data is unavailable.
    2. Initial steps to establish data recording processes within departments.
    3. Determining which metrics are most valuable to track.
    4. Methods and tools available for efficient data capture.
    5. Maintaining consistency and standardisation throughout the recording process.
  5. Data Storytelling: Turning Numbers into Narratives
    1. The value of data storytelling in effective business communication.
    2. Fundamental data analysis techniques to support compelling narratives.
    3. An overview of data visualisation techniques to strengthen your message.
    4. Case studies examining both successful and unsuccessful data storytelling examples.
  6. Understanding KPIs: Leading vs. Lagging Indicators
    1. Distinguishing between leading and lagging KPIs.
    2. The advantages and constraints of each KPI type.
    3. Selecting the appropriate KPI to align with specific business objectives.
    4. Examples of leading and lagging KPIs across different sectors.
    5. Workshop: Aligning business goals with relevant KPIs.
  7. Course Wrap-up and Final Thoughts
    1. Integrating data into daily business operations.
    2. Fostering a culture that prioritises data-driven decision-making.
    3. The importance of continuous learning and staying current with data trends and technologies.
  8. Assessment/Feedback
    1. A brief quiz to evaluate knowledge retention.
    2. A feedback form to assess course effectiveness and collect suggestions for improvement
 14 Hours

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