### Q1: What are some of the benefits of using real-time data for transaction management in finance?  
### Q2: How does Power BI enable finance professionals to analyze real-time data effectively?  
### Q3: What challenges might arise when implementing predictive analytics for customer behavior predictions in finance?  
### Q4: How can low-code BI tools enhance the ability of finance professionals to monitor transactions?  
### Q5: In what scenarios would a hands-on coding approach be beneficial for developing custom financial analytics solutions?  
### Q6: What mixed approach strategies can be employed to optimize real-time BI for financial transactions?  
### Q7: How can you communicate the importance of real-time data to stakeholders in the finance industry?  
### Q8: What techniques can be used to effectively present BI insights from financial transactions to non-technical audiences?  
### Q9: How can improving your communication skills enhance collaboration within finance teams when implementing new BI tools?