### Q1: What is a low-complexity example of how data analytics can enhance customer experience in an e-commerce setting?  
### Q2: How can predictive analytics help in inventory management for a retail business, and what might be a moderate challenge in implementing this strategy?  
### Q3: What are some advanced techniques that a company might use to analyze transaction patterns to detect fraudulent activities?  
### Q4: In what ways can a B2C business apply data-driven decision-making to improve operational efficiency?  
### Q5: What are some moderate data-driven strategies that could be implemented to evaluate customer feedback in a restaurant setting?  
### Q6: How can a company measure the effectiveness of its marketing campaigns using data analytics, and what challenges might arise in this process?  
### Q7: Why is it important for teams to communicate the rationale behind data-driven decisions to foster accountability?  
### Q8: What strategies can be employed to ensure effective communication of data analysis results to non-technical stakeholders?  
### Q9: How can a company improve collaboration among teams when making decisions based on data analytics, considering communication barriers?