The Role of Big Data Analytics in Corporate Finance Shared Decision Making

Digital technology innovation has reshaped the underlying logic of enterprise financial management, and the financial sharing model is gradually leaping from process integration to data-driven. The traditional decision-making mechanism is limited by information silos and experience dependence, making it difficult to cope with the dynamic risks in the complex market environment. Big data analytics opens a new path to solve the pain points of inefficient resource allocation and lagging risk identification by integrating heterogeneous data from multiple sources and constructing a quantifiable decision support framework. This paper focuses on the intersection of algorithm design and governance system, exploring how to combine unstructured data features with dynamic optimization models to form an intelligent financial hub with real-time response capability. The breakthrough point of the research is the establishment of a decision-making system covering the whole chain of fund deployment, risk warning and budgeting, and the validation results are of demonstrative significance in promoting the transformation of the financial sharing center into a strategic value unit.

Institutions

Publication Details

Journal
Accounting and Corporate Management
Published
2025-01-01
DOI
https://doi.org/10.23977/acccm.2025.070401
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

The Role of Big Data Analytics in Corporate Finance Shared Decision Making

Accounting and Corporate Management
Big Data and Business Intelligence
article

The Role of Big Data Analytics in Corporate Finance Shared Decision Making

article en

Abstract

Digital technology innovation has reshaped the underlying logic of enterprise financial management, and the financial sharing model is gradually leaping from process integration to data-driven. The traditional decision-making mechanism is limited by information silos and experience dependence, making it difficult to cope with the dynamic risks in the complex market environment. Big data analytics opens a new path to solve the pain points of inefficient resource allocation and lagging risk identification by integrating heterogeneous data from multiple sources and constructing a quantifiable decision support framework. This paper focuses on the intersection of algorithm design and governance system, exploring how to combine unstructured data features with dynamic optimization models to form an intelligent financial hub with real-time response capability. The breakthrough point of the research is the establishment of a decision-making system covering the whole chain of fund deployment, risk warning and budgeting, and the validation results are of demonstrative significance in promoting the transformation of the financial sharing center into a strategic value unit.

Accounting and Corporate ManagementVol. 7(4)
Henan Energy & Chemical Industry Group (China) (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 68%
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.