### Q1: What is the main purpose of sales forecasting in a business context?  
### Q2: How can SQL functions like `SUM()` and `GROUP BY` enhance sales data analysis?  
### Q3: What are the key differences between using moving averages and linear regression for forecasting sales trends?  
### Q4: How could implementing more accurate sales forecasting impact your company's inventory management strategy?  
### Q5: Which SQL query example provided in the lesson would you utilize to analyze total sales for each product, and what insights could you gain from it?  
### Q6: Can you provide a real-world scenario where time series analysis would be particularly beneficial for improving sales forecasts?  
### Q7: In what ways can effective communication improve collaboration among sales, marketing, and production teams when discussing sales forecasts?  
### Q8: How would you explain the importance of sales forecasting to a team member unfamiliar with data analytics?  
### Q9: What strategies could you use to effectively convey complex SQL query results to stakeholders with varying levels of technical expertise?