The task analysis of the Federal Financial Monitoring Service has revealed that the money laundering risk assessment process is greatly limited by insufficient resources.The aim of the study is to increase the efficiency of decision-making processes by using visualization of financial monitoring data.The methodological basis of the study suggests to rank objects in order to map financial monitoring data.However, the objects of financial monitoring, such as 15-eg1053cl business entities, professional securities market participants, have sets of characteristics, i.e.
are of vector nature.As known, there is no mathematical definition of ordinal relations for vectors.The author used the method of principal component to estimate a scalar value of financial monitoring.The article provides a subject area modeling of financial monitoring, and the author used mathematical and methodological tools to map deviant objects of financial monitoring.The result of the study presents the geographical infographics of the money laundering process.
The author refers to socio-economic regional maps obtained from various official sources (arbitration case files, the Unified State Register of Legal Entities, the crime rate in Russia from the Ministry of Internal Affairs).The maps include information about the business activity of the federal districts, regions with a propensity for illegal and legal financial activities, crime rate.The author concludes that the grandpas best results of the study may serve as a powerful tool to support the strategic decision-making process and microanalysis of financial monitoring.