The intellectual data analysis problems motivated by predictive modeling technology are considered. Dimensionality reduction technique used for reducing a complexity of these problems has to satisfy to some specific requirements. These requirements are discussed and the new unconventional statements for dimensionality reduction problems are formulated in the paper.