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Duration 14 hours
Course Outline
- Introduction: The Power of Data in Decision Making
- Why data-driven decision-making is critical in today’s business landscape.
- Case studies illustrating how data has driven organizational transformation.
- Ensuring Data Integrity: Trusting Your Data
- What data integrity means and why it is essential for reliability.
- Key factors influencing data integrity, including accuracy, consistency, and timeliness.
- Practical steps to validate and ensure the credibility of your data.
- Real-world impacts of relying on unreliable or flawed data.
- The Art and Science of Data Interpretation
- Overview of Key Performance Indicators (KPIs): their definitions and significance.
- How to read and comprehend various types of graphs and charts.
- Techniques for spotting trends, patterns, and outliers within datasets.
- Hands-on exercises focused on interpreting sample visualizations.
- Recording Performance Data: Starting from Scratch
- The necessity of data recording and identifying gaps when data is absent.
- Initial steps for establishing data collection within departments.
- Determining which metrics are most valuable to track.
- Recommended methods and tools for efficient data recording.
- Strategies to maintain consistency and standardization throughout the recording process.
- Data Storytelling: Turning Numbers into Narratives
- The role of data storytelling in enhancing business communication.
- Core analysis techniques that support effective narrative construction.
- An introduction to data visualization: using visuals to strengthen your message.
- Comparative case studies highlighting effective and ineffective data storytelling examples.
- Understanding KPIs: Leading vs. Lagging Indicators
- Distinguishing between leading and lagging KPIs: definitions and key differences.
- The advantages and constraints of each KPI type.
- Selecting the most appropriate KPIs to align with specific business objectives.
- Examples of leading and lagging indicators across different industries.
- Interactive workshop: aligning organizational goals with relevant KPIs.
- Course Wrap-up and Final Thoughts
- Integrating data seamlessly into daily business operations.
- Cultivating an organizational culture that prioritizes data-driven decisions.
- The importance of continuous learning and staying current with data trends and technologies.
- Assessment/Feedback
- A brief quiz to measure knowledge retention.
- A feedback form to evaluate course effectiveness and collect suggestions for future improvement
Testimonials (4)
Understanding how to use data storytelling to turn insights into compelling narratives that influence decision-making and drive business outcomes was the most valuable takeaway from the training."
Nadia Murphy - Vodacom
Course - Data Analysis
What to do and what not to do with data analysis.
Kim Thornton - Vodacom
Course - Data Analysis
Data quality and cleaning
Taaliah Fortune - Vodacom
Course - Data Analysis
The data storytelling and turning numbers into a narrative
