### Q1: What is a simple way to visualize customer service interaction data using a low-code approach?  
### Q2: How can SQL queries be utilized to analyze customer feedback for product improvement in a moderate complexity task?  
### Q3: What advanced strategies can be employed to implement predictive analytics in financial services using low-code platforms?  
### Q4: How can customer service analytics enhance customer satisfaction in a straightforward manner?  
### Q5: What moderate steps can be taken to implement a customer satisfaction score (CSAT) in your organization?  
### Q6: How can analyzing churn rates alongside transaction patterns lead to effective retention strategies in a complex scenario?  
### Q7: What are key communication skills needed to effectively present data analytics findings to stakeholders?  
### Q8: How can you develop moderate communication strategies to convey the importance of customer feedback analysis to your team?  
### Q9: In what ways can you improve your communication skills to facilitate discussions around predictive analytics in your organization?