### Q1: What is structured data, and how is it typically organized?  
### Q2: Can you provide an example of unstructured data and explain why it is more challenging to analyze?  
### Q3: What advanced analytics techniques are often required to derive insights from unstructured data?  
### Q4: How can a retail business use structured data to enhance its decision-making processes?  
### Q5: What strategies could be implemented to effectively analyze unstructured data in a business context?  
### Q6: In what ways can understanding data types influence the approach to data analytics in a company?  
### Q7: How does the low-code approach facilitate the analysis of structured data?  
### Q8: What are the challenges of using hands-on coding for analyzing unstructured data?  
### Q9: How can effective communication skills enhance the presentation of insights derived from mixed data types?