Innovation and Application of Financial Analysis Methods in the Big Data Era

Shusen Chen

doi:10.47297/wspceWSP2516-251912.20250903

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Innovation and Application of Financial Analysis Methods in the Big Data Era

9卷第3期

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Innovation and Application of Financial Analysis Methods in the Big Data Era
Innovation and Application of Financial Analysis Methods in the Big Data Era
New Channel International Education Group Limited, Fuzhou, Fujian, 350000, China
2025年9卷第3期页码：63-66
纸质出版日期：2025-06-30
DOI：10.47297/wspceWSP2516-251912.20250903
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(2025). Innovation and Application of Financial Analysis Methods in the Big Data Era. 创意经济（英文版）, 9(3), 63-66.

Chen Shusen.Innovation and Application of Financial Analysis Methods in the Big Data Era[J].Creative Economy,2025,09(03):63-66.
(2025). Innovation and Application of Financial Analysis Methods in the Big Data Era. 创意经济（英文版）, 9(3), 63-66. DOI： 10.47297/wspceWSP2516-251912.20250903.

Chen Shusen.Innovation and Application of Financial Analysis Methods in the Big Data Era[J].Creative Economy,2025,09(03):63-66. DOI： 10.47297/wspceWSP2516-251912.20250903.

摘要

Abstract

In the era of rapid digital transformation

the exponential growth of data has profoundly reshaped financial analysis paradigms. This paper explores the innovation and application of financial analysis methods under the framework of big data

addressing how traditional approaches are evolving to leverage the "4V" characteristics (volume

velocity

variety

value) of data. It first analyzes the impacts of big data on financial analysis

including expanded data sources

enhanced processing challenges

and shifted analytical objectives. Subsequently

it introduces innovative methodologies such as data mining-based pattern extraction

real-time analytics for dynamic decision-making

visual representation of complex financial insights

and predictive modeling using machine learning. The study also demonstrates practical applications in enterprise financial management

covering forecasting

cost control

investment evaluation

and risk management. Finally

it discusses critical challenges like data quality issues

talent gaps

and technical implementation hurdles

proposing solutions through data governance

interdisciplinary talent cultivation

and strategic technology adoption. The research highlights that integrating big data-driven financial analysis enhances organizational agility and strategic foresight

emphasizing the need for enterprises to adapt to data-centric innovation for sustainable competitive advantage.

关键词

Keywords

references

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