The Analytical Instrumentarium for Predictive Analysis of Revenue from the Sale of Goods

The article is aimed at elaborating recommendations on the selection of analytical instrumentarium for predictive analysis of revenue from the sale of goods, according to the nature of its seasonal changes. The necessity of carrying out predictive analysis of revenue from the sale of goods as an important component of its management is substantiated. The attention is focused on the necessity to use for predictive analysis of revenue from the sale of goods the trend-seasonal models which take into consideration both regularity and randomness of formation of values of levels of the series. A structural-logical model of technology of predictive analysis of revenue from the sale of goods has been proposed according to the nature of its seasonal changes. A number of criteria has been defined, which allow to reveal in a series of dynamics the presence of anomalous data, trend, and seasonal fluctuations. The iterative method of distribution of series of dynamics of revenue from the sale of goods by components has been tested. The recommendations on the choice of the trend model, which can be used to construct both point and interval predictions of the volume of proceeds from sale of goods, are provided