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?

Thanks.