Automation and Algorithmization of “Smart” Benchmarking of Territories Based on Data Parsing

Abstract

Benchmarking is one of the modern tools for regional development. The tasks of regional benchmarking include determining the leading territory, analyzing the main factors of its success and adapting the identified benefits to the analyzed region. At the same time, a feature of “smart” benchmarking is a preliminary selection of structurally similar territories and further comparison of the object of study only with identical regions. In the article the algorithm of automation of the procedure of regional benchmarking based on parsing sites for its further use in the software environment for statistical data processing. The algorithm is tested on the example of the subjects of the Russian Federation. Calculation of indicators is carried out by a flexible algorithm, which can be changed at the request of the researcher. The parser receives the calculation formula as input in Python or LaTeX notation and looks for indicators in the collected data suitable for substitution into the formula. When all indicators are collected, the database is calculated and updated. The visualization of the “smart” benchmarking procedure was carried out for the Perm Territory in the form of a geographical map of identical regions.