Keywords: matrix, balance, technology, product, requirements, data, useful effect.

Introduction. Purpose of scientific research is development of new technologies of balance of data. They are very important for the solution of many problems, for example, for finding of optimum quality of products, for definition of optimum proportions of the price and quality of products, for formation of optimal commodity assortment, synchronization of temporary parameters of supply and demand, and also for balance of supply and demand over the volume, the price and quality of products, solution of other problems.

Methods and tools. During the conducted research, methods of the scientific analysis, system and comprehensive approach were used. The matrix technologies of balance of data were recommended for the solution of problems of increase in competitiveness of products [1- 3].

Results. Two types of matrixes of multi-purpose optimization were developed.  The first type of matrixes is intended for balance of data of the strategic program of the offer of products. Data of the commodity offer in such matrix are planned in a long-term outlook according to expected data of demand. For this purpose, each cell of a matrix is divided in half. Expected data of demand are reflected in the top part of each cell, whereas the planned data of the offer of product - in the lower part of cells. Matrix technologies consist in the coordinated planning of data, because all data of the strategic offer of products in the long term in matrix are balanced among themselves and with expected data of demand, and they are synthesized in cumulative cells of a matrix.  Advantage of matrixes of multi-purpose optimization consists in generating of various options of a combination of a data plurality of the offer of products not only by means of change of data of the price, effectiveness of target function and volumes of the offer of products, but also over means of maneuvering by temporary and spatial parameters of location of goods in the markets.  Subsequently, comparison of all options of configuration of a matrix with each other is implemented over means of assessment of aggregate useful effect from products in cumulative cells of a matrix, it allows to choose the optimal variant.

Similar approach is used also during creation of matrixes of transformation of data of the current program. Difference of matrixes of the current optimization of data consists in implementation of process of transformation of data of volume, effectiveness of target function and the price, on the one hand, according to change of data of the current requirement, and on the other hand, in borders of range of the data designated by the strategic program of development of products. Thus, matrixes of the current transformation of data have to promote balance of all data of a matrix with each other and provide conformity of the output data of the strategic and current program. Matrixes allow to estimate contribution of different options of situational transformation of a plurality of data of offering products of firm in various markets in achievement of the best synergetic result on the basis of definition in summary cells of a matrix of potential useful effect of the cumulative offer of products of firm during the current period.  

Conclusions.  Thus, matrix technologies are tools, which allow to find a complex of optimal solutions, namely: first, they establish according to demand not only a main indicator of positioning of each product on the market, but also define the optimum plurality of data of the quality, price, and volume of the offer of each product for best compatibility of all data with each other and  for achievement of the highest synergetic effect; secondly,  they define the strategic range of data  of the offer of each product as  from the point of view of demand satisfaction on different stages of life cycle of demand in it, so and from the point of view of increase of useful effect of product during full life cycle in the market, as well as contribution of product  into useful effect of all commodity offer of firm in general; thirdly, they form decisions over balance of supply and demand over data of volume, effectiveness of target function, over prices of products  not only in a certain local market over each type of a product, but  also take into account  the contribution of each product in satisfaction of cumulative demand of all markets;  fourthly, they  allow to  synchronize temporary parameters of supply and demand in each market and on all markets over each product; fifthly, they provide conformity of data of the strategic and current program to each other  both over separate products and the markets, and over the cumulative commodity offer for all markets; sixthly, they establish balance of the cumulative proposal of various producers with cumulative demand of buyers and are define  the optimal variants of a combination of their interests. 

Thus, the offered matrix technologies and new techniques of calculation of aggregate useful effect create the effective mechanism of balancing of data and achievement of the best synergetic result. It opens big prospects for increase of products competitiveness and for the best satisfaction of social needs.

2. Merkulova Yu.V. Situational and strategic planning in economy. Tome 2. Modeling of optimum strategies and programs. the 3rd edition with additions and changes. – Moscow.: Economy. – 2017. - 488p.

3. Merkulova Yu.V. Technical inventions in economy. Part 1. Way of management of a plurality of variable data of consumer indicators of products for their optimization, taking into account temporary and spatial parameters. – Moscow, Publishing house of Academy of Natural sciences, 2016.– 151p.