The sales figures are the heart of this table and extremely important for digital product management. The figures transmitted monthly allow for extensive analyses. The correct figures for the first and second quarters have already been determined using a formula column in order to be able to better compare the developments of the stores. Using your own SeaTable statistics, you can create valuable and meaningful statistics that structure your data in an insightful and visual way.
We have already created some statistics that are useful for austria rcs data evaluating the data in this table. There are almost no limits to the options: By selecting a view for each table, highly individual statistics can be created; for example, if a shop is to be analyzed specifically, a single view can be created for this branch and then statistics can be created just for it.
Digital product management also includes statistics of all kinds
These statistics complement product management with important analyses
The first statistic shows the margins of the various product series and it is clear that the Easy Line has the highest margin. The following statistic on the right shows the sales figures in the first quarter for the individual sales locations: Berlin is obviously a strong location, while the figures in Graz look rather poor. Product management can therefore follow up on the rather poor figures in the future in order to possibly improve output.