### Q1: What are the three types of data analysis techniques mentioned, and how does each contribute to sales strategies?  
### Q2: How can customer segmentation be automated using AI tools, and what impact does this have on marketing strategies?  
### Q3: What are the advantages of using predictive analytics in sales, and can you provide an example of its application?  
### Q4: Which approach would be most effective for quickly implementing data analysis techniques in your sales strategy—low-code, hands-on coding, or a mixed approach?  
### Q5: How would you utilize customer segmentation to identify a new target market segment?  
### Q6: What challenges might arise when integrating predictive analytics tools into existing sales processes?  
### Q7: How can you effectively communicate the benefits of AI-driven analytics platforms to your team?  
### Q8: What strategies can you use to present complex data analysis results to a non-technical audience?  
### Q9: How would you frame a conversation with stakeholders about the importance of adopting sales automation tools?