Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
- Introduction: The Power of Data in Decision Making
- The critical role of data-driven decision-making in contemporary businesses.
- Real-world case studies demonstrating how data has transformed organizations.
- Ensuring Data Integrity: Trusting Your Data
- Defining data integrity and its essential importance.
- Key factors impacting data integrity: accuracy, consistency, and timeliness.
- Procedures to ensure and validate data credibility.
- Consequences of making decisions based on unreliable data.
- The Art and Science of Data Interpretation
- Introduction to Key Performance Indicators (KPIs): Definition and significance.
- Techniques for reading and understanding various graphs and charts.
- Identifying trends, patterns, and outliers within datasets.
- Practical exercises: Interpreting sample graphs and charts.
- Recording Performance Data: Starting from Scratch
- The necessity of recording data: Identifying gaps when data is absent.
- Steps to initiate data recording in various departments.
- Determining which metrics to record.
- Methods and tools for effective data recording.
- Ensuring consistency and standardization in the recording process.
- Data Storytelling: Turning Numbers into Narratives
- The significance of data storytelling in business communication.
- Fundamental data analysis techniques for compelling storytelling.
- Overview of data visualization techniques: Using visuals to enhance your narrative.
- Case studies: Examples of effective and ineffective data storytelling.
- Understanding KPIs: Leading vs. Lagging Indicators
- Definitions and distinctions between leading and lagging KPIs.
- Advantages and limitations of each KPI type.
- Strategies for selecting the right KPI aligned with business objectives.
- Examples of leading and lagging KPIs across diverse industries.
- Workshop: Aligning business goals with relevant KPIs.
- Course Wrap-up and Final Thoughts
- Integrating data into daily business processes.
- Promoting a culture of data-driven decision-making.
- Emphasizing continuous learning and staying updated with data trends and technologies.
- Assessment/Feedback
- Short quiz to assess knowledge retention.
- Feedback form to evaluate course effectiveness and gather improvement suggestions
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
