BUILDING AN INFORMATION SYSTEM ARCHITECTURE FOR ANALYZING THE CRITERIA OF SUSTAINABLE DEVELOPMENT GOALS

Abstract

It is proposed to measure sustainability by a single super-criterion, the value of which is influenced by sustainability criteria in the social, economic and environmental spheres. The third level includes criteria that determine the solution of 17 tasks for achieving the Sustainable Development Goals, which in turn, at the fourth level, 176 criteria are presented. Among them, a group of statistically significant indicators was identified. The indicators of this group were normalized, and then checked for normality. A correlation matrix of indicators of the Sustainable Development Goals was compiled.The main results are: statistically significant was 38% of the indicators from the entire data set, which were reduced to a single norm by the robust sigmoid function, and correlation coefficients were calculated. At the same time, coefficients with positive values are most fully described by the Gauss law, and distributions of coefficients with negative values are most fully described by the Weibull distribution, which allows us to determine the mutual influence of SDG indicators for the subsequent construction of a data showcase.

A database that is part of the system architecture has been developed. Its implementation allows you to collect user responses for expert assessments when determining weighting coefficients for convolving sustainable development criteria at all graph levels. Also, information about the initial values of indicators, normalized data, and aggregated data will be collected and processed in the corresponding entities, which will allow performing multidimensional analysis in the data showcase on a macro and micro scale using various visualization methods.