If you detect a lot of negative opinion then you might try to counter that with your own expert reviews and news releases.
Cubes are a powerful analytical tool for gaining insight from your data. Breaking down the data by multiple dimensions gives the analyst a way of looking for interesting segments. Using date dimensions allows us to see what is happening over time. Adding different measures based on numeric transactional values can give insight into valuable segments in the data.
Examples of insights provided...
There are some questions we could cyprus phone number ask which require producing figures which are calculated from those returned by the analysis. For example:
What is the difference in the average holiday spend compared to this quarter last year?
How is the relative popularity of destinations to each other changing over time?
What is the sum of our revenue for the year to date?
In the cube below, we are looking at the different destinations visited over a 2 year period banded into quarters. It shows the number of people in each cell and also the average cost of their bookings for that destination/quarter combination.
From the portion of the cube that we can see above it is clear that for the four visible destinations our average holiday spend in each quarter of 2012 was better than in 2011 (with only one exception).