Abstract:
The article considers possibility of complex implementation of multidimensional statistical methods for small-scale organizations' financial sustainability and solvency analysis. The author suggests discriminant functions to classify small-scale organization. The cluster analysis enables to single out the regions of the Volga Federal District with similar small-scale business development indicators, for which it is proposed to apply discriminant models, designed on the basis of Penza region small-scale enterprises' economic indicators.