### Q1: What are the key characteristics that define quality data in the fintech industry?  
### Q2: How does data cleaning improve the performance of machine learning algorithms in fintech applications?  
### Q3: Why is it essential to adhere to legal and ethical guidelines when using web scraping for data collection?  
### Q4: In what ways can surveys and questionnaires be used effectively for data collection in fintech?  
### Q5: How can integrating data from multiple sources benefit a fintech company in terms of customer insights?  
### Q6: What challenges might arise from poor data quality in making financial decisions?  
### Q7: How can effective communication of data quality issues enhance stakeholder trust in a fintech project?  
### Q8: What strategies can be employed to ensure clarity in the questions crafted for customer surveys?  
### Q9: How does maintaining thorough documentation during data preparation foster better communication within a fintech team?