Active Engagement Points

✅ Key Topics Explored

Engage with these reflection points to deepen your understanding and apply what you’ve learned.

➜ Why Do Businesses Collect Data?

Businesses and organisations collect data for various reasons. Reflect on the following:
– What are the primary drivers behind data collection in your industry?
– How does data help solve business challenges or improve efficiency?
– Are there examples where data collection has led to innovation?

➜ Understanding Data Types

Data can be classified in multiple ways, including:
– By Type: Quantitative vs. Qualitative
– By Format: Text, images, videos, structured databases, etc.
– By Sensitivity: Public, confidential, personally identifiable information (PII), etc.

❓ Reflection Questions:
– What types of data does your organisation collect?
– How does the format and sensitivity of data impact how it is used?
– What best practices should be followed when handling different types of data?

➜ Evaluating the Benefits of Data Analysis

Data analysis can transform businesses, but only when used effectively.

❓ Ask yourself:
– How does data drive decision-making in your role?
– Have you seen a real-world example where data analysis helped an organisation improve?
– What are the potential risks of relying too much on data, or not enough?

Takeaway & Application

Reflect on Today’s Learning

• ✅ What is one key thing you learned today about data and decision-making?
• ✅ How will you apply this knowledge in your workplace?

➕ Action Step: Write down one practical way you can incorporate better data practices into your daily workflow. Set a goal to implement this change in the next month.

** Data is only valuable when applied effectively—how will you use it to drive better decisions?**