Abstract
The paper presents results of mapping and visualization of financial monitoring data. Measures of deviant activity of financial monitoring objects for the purpose of mapping have been received. The proposed solution can serve as a powerful tool to support the adoption of strategic decisions and macro analysis of the situation in the field of financial monitoring. The approaches proposed in the article to the processing of state data make it possible to implement a new methodological approach to information and analytical support for managerial decision-making in assessing the situation in the field of financial monitoring. The subject of financial monitoring was simulated and the mathematical and methodological tools were selected to solve the problem of mapping deviant economic entities, the simulation result is an infographic of the geographical component of laundering criminal proceeds. To map information about financial monitoring objects, it is necessary to rank them. However, the objects of financial monitoring – business entities, professional participants in the securities market – are described by sets of characteristics, i.e. essentially are objects of vector nature. In mathematics, the ordinal relations for vectors, as is known, are not defined.
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