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Data mining in all cases requires that the data to be worked with be prepared beforehand. If they are available as, e.g., individual order records in a data base, these individual records need to be comprised on a customer specific level first. It is also necessary to comprise individual orders on a time scale, like e.g. relating to a certain season. A compression according to different groups of products is useful, too.
Our Analysing Software Score™ 4.0 is capable of finding out quite autonomously which of the variables can and can not be sensibly used for the purpose of a data mining analysis. In other words, you need not even decide exactly which kind of data you make available to the tool. You simply offer it an abundant amount of customers' properties (several different comprising levels of the basic data) and then leave it to choose from this material autonomously.
Score™ 4.0 is capable enough to deal with a surplus of data without difficulties. Currently, we use up to 500 variables for our analyses. This is not, however, the upper limit - an extension to 1000 or 2000 variables would be very well possible. By restricting the abundance of data from the start, you would in fact rob the analysing software of its choosing options. We always strongly discourage our customers of doing this, because this software can distinguish between good and bad variables much better than human beings ever could.
After the completion of an analysis you can see exactly which variables have been considered particularly intensively and which have been ignored. An additional analysis of results such as this has never led to any contradictions before, but has earned praise by human marketing experts - who confirmed the software's decisions again and again.
The automatic choice of variables to be used can of course lead to mistakes. After all, a computer is not an intelligent machine, but still only a rather dumb calculating robot. The extremely high transparency of Score™ 4.0 enables you always very quickly to find any of such defective data. With one mouse click you can subsequently exclude individual variables or complete groups of variables from your analysis. Due to the very high speed of the analysing procedure of Score™ 4.0, such faults can be corrected within only a few minutes.
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