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Course Outline
- Introduction: The Power of Data in Decision Making
- The significance of data-driven decision-making in contemporary business environments.
- Case examples illustrating how data has driven organizational transformation.
- Ensuring Data Integrity: Building Trust in Your Data
- Defining data integrity and explaining its critical importance.
- Examining key factors impacting integrity: accuracy, consistency, and timeliness.
- Implementing steps to validate and ensure data credibility.
- Reviewing the real-world impacts of decisions based on unreliable data.
- The Art and Science of Data Interpretation
- Introduction to Key Performance Indicators (KPIs): their definitions and business value.
- Interpreting various types of graphs and charts effectively.
- Detecting trends, patterns, and outliers within datasets.
- Hands-on exercises focused on analyzing sample visualizations.
- Recording Performance Data: Starting from Scratch
- Identifying gaps and establishing the need for systematic data recording.
- Outlining the initial steps for initiating data capture within departments.
- Selecting the most relevant metrics to track.
- Choosing appropriate methods and tools for data collection.
- Maintaining consistency and standardization throughout the recording process.
- Data Storytelling: Turning Numbers into Narratives
- The role of data storytelling in enhancing business communication.
- Applying basic analysis techniques to craft compelling narratives.
- Leveraging data visualization techniques to strengthen your message.
- Analyzing case studies featuring both effective and ineffective storytelling examples.
- Understanding KPIs: Leading vs. Lagging Indicators
- Distinguishing between leading and lagging KPIs through clear definitions.
- Evaluating the advantages and constraints of each indicator type.
- Aligning the right KPIs with specific business objectives.
- Exploring examples of leading and lagging KPIs across multiple industries.
- Workshop session: Mapping business goals to relevant KPIs.
- Course Wrap-up and Final Thoughts
- Integrating data insights into daily business operations.
- Fostering an organizational culture centered on data-driven decisions.
- Promoting continuous learning and staying current with evolving data trends and technologies.
- Assessment/Feedback
- A concise quiz to evaluate knowledge retention.
- A feedback form to assess course impact and collect suggestions for future enhancements
14 Hours
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
