### Q1: What are no-code data analytics solutions, and how do they empower users without extensive programming knowledge?  
### Q2: How might the integration of SQL with artificial intelligence enhance the accuracy of data forecasts in a retail environment?  
### Q3: What are some advanced strategies for creating a narrative from data to effectively communicate insights to stakeholders?  
### Q4: Can you describe the benefits of using a low-code approach in data analytics for a marketing professional?  
### Q5: What challenges might arise when trying to integrate AI capabilities with existing SQL practices, and how can they be addressed?  
### Q6: In what ways could storytelling with data improve the effectiveness of presentations in a corporate setting?  
### Q7: How can promoting data literacy within an organization lead to more informed decision-making across departments?  
### Q8: What steps can be taken to measure the impact of data literacy initiatives on employee performance and innovation?  
### Q9: How can SQA professionals advocate for data literacy programs to ensure their teams leverage analytics effectively?