USING BIG DATA IN CORPORATE FINANCE MANAGEMENT

In the context of digital transformation of the corporate environment, big data technologies are gaining increasing importance, having a systemic impact on the methodology and practice of corporate finance management. The article reveals the essential characteristics of big data in the financial context and describes key areas of their applied use, including cash flow forecasting, liquidity management, risk assessment, and budget modeling. It examines the sources and structures of financially significant data, including corporate IT systems, open databases, transactional and unstructured data sets. The functionality of analytical and software solutions enabling the processing and interpretation of such data is presented, including business analytics platforms, machine learning technologies, and cloud services. The emphasis is placed on institutional and infrastructural constraints of digitalizing financial processes, as well as the potential effects of improving sustainability, accuracy, and proactivity in financial management through the use of big data.

Authors

Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.06.04.001
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

USING BIG DATA IN CORPORATE FINANCE MANAGEMENT

S.M. Syurkova, Alyona V. Bogomolova, Azat R. Shagiakhmitov
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Big Data and Business Intelligence
article

USING BIG DATA IN CORPORATE FINANCE MANAGEMENT

S.M. Syurkova, Alyona V. Bogomolova, Azat R. Shagiakhmitov
article en

Abstract

In the context of digital transformation of the corporate environment, big data technologies are gaining increasing importance, having a systemic impact on the methodology and practice of corporate finance management. The article reveals the essential characteristics of big data in the financial context and describes key areas of their applied use, including cash flow forecasting, liquidity management, risk assessment, and budget modeling. It examines the sources and structures of financially significant data, including corporate IT systems, open databases, transactional and unstructured data sets. The functionality of analytical and software solutions enabling the processing and interpretation of such data is presented, including business analytics platforms, machine learning technologies, and cloud services. The emphasis is placed on institutional and infrastructural constraints of digitalizing financial processes, as well as the potential effects of improving sustainability, accuracy, and proactivity in financial management through the use of big data.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 6/4(159)
Openalex Percentile: Top 74%
Big Data and Business Intelligence
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