### Q1: What is the primary purpose of data analysis in the financial services industry?  
### Q2: How can analyzing customer feedback data help improve customer satisfaction?  
### Q3: What are some advanced methods of detecting fraudulent activities through data analysis?  
### Q4: How can data analysis support strategic decision-making in financial services?  
### Q5: In what ways can market trends and customer behavior data predict future outcomes?  
### Q6: What specific KPIs might be analyzed to measure the effectiveness of a marketing campaign?  
### Q7: How can low-code tools be utilized to analyze qualitative and quantitative data effectively?  
### Q8: What are some low-code strategies to foster a data-driven decision-making culture among teams?  
### Q9: How can effective communication of data insights influence stakeholder engagement in decision-making?