Comprehensive Analysis of a Company's Activity by Means of Statistical Modeling as Support for its Decision-Making System

Abstract An important role in ensuring effective forms of management and increasing competitiveness is played by the process forecasting activity enterprise. This work analyzed performance a food industry enterprise, for which wide range statistical methods were applied such as cluster, correlational regression analysis, tests Fisher, Student, Farrar-Glauber, Durbin-Watson, Goldfeld-Quandt, μ-criterion, multifactor regression, trend, auto-regression models, models seasonal fluctuations, provided view economic properties enterprise profit process, particular component revenue dependence on its value last year, quarterly sales marketing costs, product price, etc. The detected patterns will allow us to take into account these features future revenues adjusting enterprise’s decision-making system taking results previous year.