The purpose of the study is the development of the GIS “Kuzbass” and its approbation for decision-making by public authorities. In the course of the study, a GIS was developed with a traditional architecture, but differing in taking into account a wide range of spatial objects, the use of neural network technologies and big data. Before approbation, the neural network was trained to recognize objects and situations requiring decision-making. As a result of the study, it was revealed that the use of the Kuzbass GIS made it possible to automatically identify 319 land plots that are intended for agriculture, but are illegally used for mining (about 0.6% of all areas included in the GIS). Management decisions were made on the imposition of sanctions and requirements to eliminate violations. Monitoring of forest areas revealed 4 cases of large logging without a permit, the damage to forest resources amounted to 150 million rubles (about 2 million US dollars). Also in the study, using GIS, an analysis of the legality of the construction of capital construction projects was carried out. 12,370 capital construction projects were identified that were built illegally and without paying taxes. Consequently, the use of GIS “Kuzbass” will help improve support for making management decisions at the level of the region and municipalities.
The purpose of the study is to critically assess existing practices and develop recommendations for improving decisionmaking in the field of public procurement using professional software. The work used two Russian computer programs for market analysis and statistical methods (descriptive statistics, regression analysis, construction of trend equations) to process the information obtained in an automatic mode. As a result, it was found that using the software, it is possible to quickly assess the situation in a certain market segment by uploading information about the number of bidders, procurement dynamics, indicators of reducing the initial maximum contract price. In particular, it was found that the government procurement market for computer equipment is growing rapidly (as seen from the trend equation), but it is advisable for companies with a cost leadership strategy to participate. An analysis of the purchases of a particular organization was also carried out, it was shown that a large volume of purchases and an average level of competition, normal values of rejected and conflicting bids make it possible to make a decision on the expediency of participation. The paper demonstrates a positive economic effect associated with significant time savings for procurement specialists. At the same time, the existing software products still do not allow online receiving information about prospective purchases. In the future, it is advisable to introduce big data and predictive analytics into government procurement analysis in order to plan production and sales taking into account the needs of future customers.
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