Use of Big Data Technologies in Russian Business

Abstract A framework and a set of indicators are proposed for monitoring and assessing the level of use of big data technologies in business, taking into account international standards, developments of analytical companies and relevant scientific publications in this area. The framework includes indicators characterizing the level of maturity of working with big data, the use of big data technologies and barriers to their implementation in companies. A pilot approbation of the monitoring system was carried out, individual indicators were calculated based on the available statistical data for 2020.

Authors

Institutions

Publication Details

Journal
Lobachevskii Journal of Mathematics
Published
2026-10-09
DOI
https://doi.org/10.1134/s1995080226700241
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Use of Big Data Technologies in Russian Business

P. S. Ershov, S. B. Shaposhnik, Yu. E. Khokhlov
Lobachevskii Journal of Mathematics
Big Data and Business Intelligence
article

Use of Big Data Technologies in Russian Business

P. S. Ershov, S. B. Shaposhnik, Yu. E. Khokhlov
article en

Abstract

Abstract A framework and a set of indicators are proposed for monitoring and assessing the level of use of big data technologies in business, taking into account international standards, developments of analytical companies and relevant scientific publications in this area. The framework includes indicators characterizing the level of maturity of working with big data, the use of big data technologies and barriers to their implementation in companies. A pilot approbation of the monitoring system was carried out, individual indicators were calculated based on the available statistical data for 2020.

Lobachevskii Journal of MathematicsVol. 47(S1)
Plekhanov Russian University of Economics (RU), Institute of Biology of Karelian Research Centre (RU), Institute of Geology of the Karelian Research Center (RU), Karelian Research Centre (RU)
Openalex Percentile: Top 6%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.