Application of data mining methods in researching the implementation of sustainable development goals

Abstract

The article presents the results of the sociological and analytical study of the introduction of sustainable development goals (SDGs) in Russian companies. It is shown that the transition to a «green» economy and new business models is closely linked to the implementation of the SDG management concept. The study aims at assessing Russian companies’ awareness of the sustainable development goals, identifying the SDGs that are of special importance to business, determining the possibility for improving the quality of forecasting the introduction of SDGs in the companies relying on the data analysis method, It is shown that this depends on the degree of Russian companies’ awareness of the situation. The factors that motivate them are identified. The analysis is carried out with the use of the Data Mining application methods in the following areas of the study: data quality, decision tree, checking the accuracy of the algorithm, identifying dependencies, predicting the implementation of SDGs. Despite the fact that the study focuses on Russian companies, the authors note the versatility of their methodology and the possibility for its use by foreign companies in analyzing and forecasting SDGs.