### Q1: What is the primary purpose of data analytics in a business context?  
### Q2: How does predictive analytics differ from descriptive analytics in terms of their application?  
### Q3: What are some advanced techniques that can enhance data analytics beyond traditional methods?  
### Q4: In what ways can data analytics improve customer experiences and sales in a retail company?  
### Q5: How can a product leader leverage data analytics to align strategies with customer needs?  
### Q6: What specific business strategies can be informed by the insights derived from data analytics?  
### Q7: Why is it important to communicate the difference between data, information, and metrics to a team?  
### Q8: How can effective communication of analytical results lead to better decision-making within a team?  
### Q9: What strategies can be employed to ensure that data-driven insights are communicated clearly to stakeholders?