Software set for generation of statistical classification to conduct economic and statistical modeling and analysis of the enterprise’s creditability assessment
Application area
Financial structures that are involved in activities connected with making decisions based on the analysis of statistical data in various aspects.
Novelty
The complex of unified software tools enables to obtain new templates of statistical classification or correction of the existing ones without reprogramming.
Performance optimization is realized through a set of modern effective design solutions, which provides the necessary performance working with Terabyte databases with limited computing resources: distributed data processing using the Map-Reduce method of Big Data methodology, virtualization and parallel data processing.
Main technical and economic indicators:
Financial structures that are involved in activities connected with making decisions based on the analysis of statistical data in various aspects.
Novelty
The complex of unified software tools enables to obtain new templates of statistical classification or correction of the existing ones without reprogramming.
Performance optimization is realized through a set of modern effective design solutions, which provides the necessary performance working with Terabyte databases with limited computing resources: distributed data processing using the Map-Reduce method of Big Data methodology, virtualization and parallel data processing.
Main technical and economic indicators:
- significant reduction in software maintenance costs due to the replacement of programming functions with a customization function when introducing new templates of statistical classification;
- reduced time required for obtaining new statistical classification due to automatization of the arrangement of statistical classification templates;
- wider functionality in terms of economic and statistical modeling and analysis based on the use of data from statistical classification of various degrees of complexity;
- increase of the consistency and comparability of data for different areas of statistics;
- ease of use.
Implementation experience
The complex for formation of statistical classification is in industrial operation and provides automation of the processes of forming statistical classification for economic and statistical modeling and analysis in the National Statistical Committee of the Republic of Belarus. The complex operates in a single corporate network and provides the possibility of forming statistical classification for Minsk and six regional departments of statistics, 133 disrtict departments of statistics.
The complex for formation of statistical classification is in industrial operation and provides automation of the processes of forming statistical classification for economic and statistical modeling and analysis in the National Statistical Committee of the Republic of Belarus. The complex operates in a single corporate network and provides the possibility of forming statistical classification for Minsk and six regional departments of statistics, 133 disrtict departments of statistics.
