### Q1: What are the key differences between data analytics and BI, and how can understanding these differences enhance the use of technology in business?  
### Q2: In what scenarios would it be more beneficial to utilize data analytics over business intelligence tools, and what factors contribute to this decision?  
### Q3: Can you provide a detailed case study that illustrates the successful application of data analytics in a business setting, highlighting the outcomes achieved?  
### Q4: What are the fundamental technical skills required to effectively implement a low-code approach in data analytics?  
### Q5: How does a mixed approach to coding enhance the integration of data analytics and business intelligence within an organization?  
### Q6: What are the challenges faced when applying hands-on coding in data analytics, and how can they be overcome?  
### Q7: How can effective communication skills improve collaboration between technical teams and business stakeholders during technology implementation?  
### Q8: What strategies can be employed to ensure that complex technical information is conveyed clearly to non-technical team members?  
### Q9: In what ways can active listening contribute to better understanding and addressing the needs of clients in a B2C business model?