### Q1: What is a fundamental feature of Excel that makes it user-friendly for data analysis?  
### Q2: How can you utilize Excel's pivot tables to analyze large datasets effectively?  
### Q3: What are the limitations of using Excel for complex data analytics compared to more advanced software?  
### Q4: In what scenarios would you choose to implement a low-code approach for data analysis in your business?  
### Q5: How can you apply Excel functions to automate repetitive data tasks in a B2B environment?  
### Q6: What business challenges could arise from relying solely on Excel for customer service analytics?  
### Q7: How can effective communication enhance the collaboration between data analysts and business stakeholders?  
### Q8: What strategies can be used to present data findings clearly to a non-technical audience?  
### Q9: How does the ability to communicate technical data insights contribute to decision-making in financial services?