Resumen
The paper considers some aspects of solving the problem of fast, correct and efficient choice of data processing methods based on the classification characteristics of heterogeneous data and the corresponding specific criteria. Based on theoretical studies, including in the field of system analysis, a classification analysis of heterogeneous and different-scale data and related methods of their processing, including using mathematical statistics methods, was carried out. The author made an attempt to classify the main, most frequently encountered data processing methods for multisensory systems in order to identify recommendations for finding a more efficient and quicker solution to the problem that is necessary for the researcher. The relevance of this approach is supported by poorly formulated tasks and universal recommendations, depending on the degree of significance of the type of data for solving a particular practical problem.