Proceedings of the International Conference on Policies and Economics Measures for Agricultural Development (AgroDevEco 2020)

Development of Information Model of National Economy Turnover Using Big Data Technology

Authors
V.V. Pshenichnikov
Corresponding Author
V.V. Pshenichnikov
Available Online 30 July 2020.
DOI
10.2991/aebmr.k.200729.058How to use a DOI?
Keywords
big data, money, information model, payment turnover
Abstract

The article substantiates the concept of an information model of the payment turnover of the country’s economy using big data technology. The information model is designed to reflect the economic situation of payment entities, industries, regions, and the country as a whole on the basis of cash transactions in cash, non-cash and electronic forms. The basis for developing an information model of payment turnover is a single classifier of payment destination. It is proposed to adapt the unified classifier of payment assignment used in the Republic of Kazakhstan to the system of indicators of financial statistics of the Russian Federation.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Policies and Economics Measures for Agricultural Development (AgroDevEco 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
30 July 2020
ISBN
10.2991/aebmr.k.200729.058
ISSN
2352-5428
DOI
10.2991/aebmr.k.200729.058How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - V.V. Pshenichnikov
PY  - 2020
DA  - 2020/07/30
TI  - Development of Information Model of National Economy Turnover Using Big Data Technology
BT  - Proceedings of the International Conference on Policies and Economics Measures for Agricultural Development (AgroDevEco 2020)
PB  - Atlantis Press
SP  - 308
EP  - 312
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200729.058
DO  - 10.2991/aebmr.k.200729.058
ID  - Pshenichnikov2020
ER  -