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Duration 14 hours
Course Outline
- Introduction: Harnessing the Power of Data for Decisions
- Understanding the critical role of data-driven decision-making in contemporary business environments.
- Examining real-world cases where data has driven organizational transformation.
- Maintaining Data Integrity: Building Trust in Your Data
- Defining data integrity and exploring its essential nature.
- Analyzing key factors that influence data integrity, such as accuracy, consistency, and timeliness.
- Implementing steps to validate and ensure the credibility of your data.
- Reviewing real-life impacts of decisions based on unreliable data.
- The Discipline of Data Interpretation
- Overview of Key Performance Indicators (KPIs): definitions and their significance.
- Learning to read and comprehend various types of graphs and charts.
- Recognizing trends, patterns, and outliers within datasets.
- Hands-on exercises: practicing the interpretation of sample visual data.
- Capturing Performance Data: Getting Started
- Identifying the necessity for data recording and the gaps that arise without it.
- Outlining initial steps to begin data recording processes within departments.
- Defining the specific metrics that require tracking.
- Exploring methods and tools for effective data collection.
- Maintaining consistency and standardization throughout the recording workflow.
- Data Storytelling: Transforming Numbers into Narratives
- Highlighting the value of data storytelling in corporate communication.
- Applying fundamental data analysis techniques to enhance narrative impact.
- Surveying data visualization techniques to strengthen visual communication.
- Analyzing case studies featuring both effective and ineffective data storytelling examples.
- Mastering KPIs: Leading vs. Lagging Indicators
- Distinguishing between leading and lagging KPIs through definitions and comparisons.
- Assessing the advantages and constraints associated with each KPI type.
- Selecting appropriate KPIs aligned with specific business objectives.
- Illustrating leading and lagging KPI examples across different industries.
- Workshop session: mapping business goals to relevant KPIs.
- Conclusion and Key Takeaways
- Integrating data insights into everyday business operations.
- Fostering a culture that prioritizes data-driven decision-making.
- Committing to continuous learning and keeping pace with evolving data trends and technologies.
- Assessment and Feedback
- Completing a brief quiz to evaluate knowledge retention.
- Submitting a feedback form to measure course impact and provide suggestions for future enhancement
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
