Could you help with Business Intelligent report.

Business problem is - Delay in delivery for UberEats, which has been caused by the shortage of drivers since the COVID-19 pandemic. This has led to longer wait times for customers, resulting in decreased customer satisfaction and potential loss of business for Uber. Therefore, there is a need to optimize the booking process for Uber drivers and ride-sharing applications to address the shortage of drivers and minimize the delay in food delivery.

-Need some help with DESCRIPTIVE ANALYTICS & DASHBOARDS for above problem.

-Apply CRISP-DM methodology.

-Need to have a professional context and a problem we want to address. Those must be rich enough to make use of the vast majority of the notions and material presented in Business intelligence.

- Must have richness of the arguments.

- Include important concepts like (supervised vs unsupervised, the performance metrics, overfitting)

Can you please relate the explanation for all above topics to be related with the Ubereats delivery problem?

Can you please provide some explanation on ethics and biases with regards to this problem context.

Thanks.