The paper considers integral indicators in the form of sums of dimensionless quantities of three blocks: quantitative (A), qualitative (B) and process (C). The relationship between them was found by means of correlation-regression analysis and the graphical method when choosing patterns. The general formula combines all three blocks. It allows us to optimize the parameters, using the mathematical apparatus for studying the functions of several variables. The aim of the work was to identify integral indicators based on non-correlated ones and to identify the relationship between the compiled integral information significant indicators in the future. The following tasks have been solved in the process of achieving the goal. At the initial stage we have selected 30 indicators for 10 in each of the three blocks and considered the relationship between them, i.e. we have narrowed the search process to 15 indicators, for 5 in each block, and have achieved their zero dimension. At the second stage, we have left 9 indicators from 15 ones, for 3 in each block when selecting by independence. At the third stage of the study, by summarizing these indicators, we have found a pairwise and common relationship between them, combining all three integral indicators, which made it possible to optimize them