### Q1: What are the three types of data sources mentioned in the lesson, and how do they differ in terms of origin?  
### Q2: How does the data transformation step contribute to the efficiency of a data warehouse?  
### Q3: What challenges might arise when attempting to integrate data from multiple sources into a data warehouse?  
### Q4: How can understanding data sources lead to better decision-making in a BI context?  
### Q5: In what ways can a well-structured data warehouse facilitate improved reporting and analysis for business users?  
### Q6: What advantages does real-time data streaming offer to businesses in the context of BI?  
### Q7: How can data mining techniques like clustering help a retail business in enhancing its marketing strategies?  
### Q8: What is the role of prescriptive analytics in driving business decisions compared to descriptive and predictive analytics?  
### Q9: How can effective communication of data insights impact stakeholder engagement and decision-making in a BI project?