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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Leveraging Power BI for Business Intelligence in the Financial Sector: A Case Study Approach

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  • Leveraging Power BI for Business Intelligence in the Financial Sector: A Case Study Approach

Ramesh Pandipati *

InfoVision Inc, TX, USA.

Research Article

World Journal of Advanced Research and Reviews, 2025, 26(03), 2844-2855

Article DOI: 10.30574/wjarr.2025.26.3.2415

DOI url: https://doi.org/10.30574/wjarr.2025.26.3.2415

Received on 24 April 2025; revised on 25 June 2025; accepted on 27 June 2025

In today’s data-driven financial sector, the effective use of Business Intelligence (BI) tools is pivotal for improving decision-making, optimizing operational efficiency, and enhancing customer insights. This study explores the integration of Microsoft Power BI as a transformative BI solution within the financial industry, using a case study methodology to investigate real-world implementation scenarios. Through qualitative and quantitative data analyses, the research demonstrates how Power BI facilitates dynamic data visualization, supports real-time analytics, and enhances financial performance monitoring. The study further evaluates user adoption, data governance, and scalability challenges associated with BI deployment. The findings suggest that Power BI not only democratizes data access across financial institutions but also contributes significantly to strategic planning and compliance monitoring. This paper contributes to the growing body of knowledge on BI applications in finance and offers a practical framework for implementation success.

Power BI; Business Intelligence; Financial Analytics; Data Visualization; Financial Sector; Dashboarding; BI Implementation; Case Study

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-2415.pdf

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Ramesh Pandipati. Leveraging Power BI for Business Intelligence in the Financial Sector: A Case Study Approach. World Journal of Advanced Research and Reviews, 2025, 26(3), 2844-2855. Article DOI: https://doi.org/10.30574/wjarr.2025.26.3.2415

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