Below an example of a quick analysis - 2 hours - you can do with the tool.
The dataset ("hotels" if you want to play with it) tracks bookings made on a online travel agent site in the USA and United Kingdom in two successive years. Booking windows show the time between booking and trip.
We want to understand:
- Where attention should be focused - what market to focus on
- Which segments are driving performance and why
- Possible solutions to improve performance
Las Vegas C window reservations contracted significantly in terms of units, that the average price increase could not offset.
Manhattan fall in revenues was driven by E reservations from the USA and D reservations from the UK.
Only these booking windows saw price increases.
The impact on margins mirrored the impact on sales.
CHANGE IN SALES
CHANGE IN MARGIN