The data fed to a SOM includes all the information that a network gets. If erroneous data is fed to the SOM, the result is also erroneous or of bad quality. Thus, Self-Organizing Map, as well as the other neural network models, follow the ``garbage in - garbage out'' principle. This is the motivation for data preprocessing. Especially, when analyzing real-life data, preprocessing is of paramount importance.