### Q1: What are some examples of internal data sources that a B2C company like No Name might use?  
### Q2: How can the process of data transformation in a data warehouse improve the quality of data for analysis in a business setting?  
### Q3: What challenges might arise when attempting to implement predictive analytics for forecasting customer demand in a B2C environment?  
### Q4: How can leveraging both internal and external data sources enhance decision-making processes in a business?  
### Q5: What advantages does a centralized data warehouse offer for managing customer and sales data?  
### Q6: In what ways can prescriptive analytics guide marketing decisions to optimize inventory levels?  
### Q7: How would you describe the importance of clear communication when presenting data insights to stakeholders?  
### Q8: What strategies can you employ to effectively communicate complex data analytics findings to a non-technical audience?  
### Q9: How can improving your communication skills enhance collaboration within a team focused on data-driven decision-making?