Question: For this task you need to answer all 6 questions from both Problems 1 and Problem 2 , consider all you learned in other courses

For this task you need to answer all 6 questions from both Problems 1 and Problem 2, consider all you learned in other courses or what have read before.

Problem 1 Hotel data analytics help us appreciate the pattern of changes in the daily occupancy of hotels. The following table represents a location-based breakdown of hotel occupancy percentages by the day of the week. A comparative analysis of the busiest days reveals a difference between the highest-occupancy day in an airport hotel and an urban hotel. 1. Which day of the week is the busiest for the airport property? the urban property? Are they the same? 2. What management decisions will the data analysis affect? Problem 2 Hotel Data by Day of the Week Discussion Questions 1. What day has the highest RevPAR? 2. What day has the highest ADR? 3. Which performance metric is the main driver of the best day in RevPAR performance? 4. What could you suggest to improve the example hotel's revenue performance if the variable cost per room night is $19

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