Innovative technologies in analyzing information about the bank’s clientele. Big Data capacity and practices

Authors

N. V. Klimovskikh
Kuban State Agrarian University named after I. T. Trubilin, Russian Federation
A. V. Sokol
Kuban State Agrarian University named after I. T. Trubilin, Russian Federation

Abstract

Traditional banking analytics of customer information is increasingly being replaced by innovative technologies based on the modern Big Data concept. The article presents a comparison of traditional and innovative banking analytics, highlights the essential features and methods of creating Big Data technologies, and provides examples from domestic practice of their application. The conclusion is that the negative consequences are mitigated by the development of innovative Big Data technologies.

Keywords

total population, working-age population, composition of working-age population, movement of working-age population

Authors Info

N. V. Klimovskikh

Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Economic Theory at Kuban State Agrarian University named after I. T. Trubilin

A. V. Sokol

Student of the Accounting and Finance Faculty at Kuban State Agrarian University named after I. T. Trubilin

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Article Details

Issue

2020 · No. 1 (57)

Section

Banking

Publication History

Published 2020-03-12

How to Cite

[1]
Klimovskikh N.V., Sokol A.V. Innovative technologies in analyzing information about the bank’s clientele. Big Data capacity and practices // Economics: Theory and Practice. 2020. No 1 (57). С. 89–96. URL: https://etip.kubsu.ru/article/view/526

License

Copyright (c) 2025 N. V. Klimovskikh, A. V. Sokol

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.