In the era of big data and digital economy, the digital transformation of corporate finance has been accelerated continuously. Traditional financial analysis presents obvious limitations in massive data processing, multi-source information integration, dynamic interactive display and real-time decision support[1]. Data-driven and intelligent financial analysis has become an inevitable trend [2]. As a lightweight business intelligence tool, Power BI provides a feasible path for the construction of intelligent finance with its core advantages such as multi-source data access, automatic cleaning, multi-dimensional modeling and interactive visualization. This paper constructs a four-stage framework of intelligent financial visualization analysis: data integration, model construction, visualization presentation and decision support. Combined with typical cases in manufacturing, new energy, consumer electronics and liquor industries, it systematically explains the application logic and implementation process of Power BI in four scenarios: multi-dimensional analysis of financial statements, business-finance integration insight, real-time monitoring of financial risks and strategic text data fusion. In view of the practical problems such as insufficient personnel ability, weak data governance, barriers between business and financial systems, and solidified analysis thinking, four optimization strategies are put forward: talent training, data governance, agile implementation and thinking upgrading. The research shows that Power BI can effectively improve the efficiency and depth of financial data analysis, strengthen information readability and decision support capacity, promote the transformation of financial departments from accounting-oriented to analysis-oriented and strategy-oriented, and provide a replicable practical scheme for the digitalization of corporate finance. 

Xiuhua Su. Research on Enterprise Intelligent Financial Visualization Analysis Based on Power BI. Academic Journal of Business & Management (2026), Vol. 8, Issue 3: 141-146. https://doi.org/10.25236/AJBM.2026.080317.

[1] Zhang, L. Research on the limitations of traditional financial analysis and the breakthrough of intelligent tools. Journal of Financial Development, 2023, 6: 41–48.

[2] Li, S. The current situation and improvement path of Power BI-based financial analysis research in China. Academic Market, 2024, 1: 112–118.

[3] Wang, H. Research on the application of Power BI in enterprise financial digital transformation. China Digital Economy, 2024, 2: 78–85.

[4] Zhao, Q. Research on financial risk early warning based on business intelligence tools. Financial Risk Management, 2024, 3: 56–63.

[5] Peng, L. The functional advantages and scenario application of Microsoft Power BI in financial management. Information Technology and Economic Research, 2023, 2: 33–40.

[6] International Research Team. Global development trend of business intelligence technology and financial digital transformation. International Journal of Digital Finance, 2023, 1(2): 1–18.

[7] Lin, H. Research on the mechanism and path of business-finance integration under digital background. Commercial Research, 2024, 2: 77–84.

[8] Luo, J. Research on enterprise data governance system and implementation strategy in digital era. Information Science, 2023, 41(8): 76–82.

[9] Liu, Y. Research on the construction of full-process intelligent financial analysis framework driven by data. Financial Science, 2023, 4: 90–96.

[10] Chen, X. Practical research on Power BI in enterprise financial decision support. Management Modernization, 2023, 43(3): 102–104.