Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66859

A STUDY ON USING POWER BI IN FINANCIAL PERFORMANCE DASHBOARD

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66859

Volume:

10 |

8 |

Aug 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66859

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

DP

DEVIKA P

DEPARTMENT OF MANAGEMENT STUDIES

VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES

Download Author Certificate
DSK

DR.R. SENTHIL KUMAR

DEPARTMENT OF MANAGEMENT STUDIES

VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

The increasing volume of financial data has created a need for effective tools that can analyze, visualize, and communicate financial information for better decision-making. Traditional financial reporting methods, particularly spreadsheet-based reporting, can be time-consuming and difficult to interpret when data is obtained from multiple sources. Microsoft Power BI provides Business Intelligence capabilities that enable organizations to integrate data, create interactive dashboards, visualize Key Performance Indicators (KPIs), and monitor financial performance efficiently. This study examines the use of Microsoft Power BI in developing financial performance dashboards and evaluates its usefulness in financial reporting, data visualization, and decision-making. The study adopted a quantitative research methodology. Primary data was collected through a structured questionnaire from 54 respondents using Google Forms. The respondents included students and individuals having knowledge of financial reporting, finance, business analytics, and Power BI. The collected data was analyzed using frequency and percentage analysis, descriptive statistics, Cronbach’s Alpha, Chi-square test, Spearman’s Rank Correlation, and One-Way ANOVA. The reliability test produced a Cronbach’s Alpha value of 0.955, indicating excellent reliability. The descriptive results showed positive perceptions towards Power BI, with most perception statements receiving mean scores above 4.00. Spearman’s correlation identified a moderate positive and statistically significant relationship between ease of dashboard development and improvement in financial reporting quality (ρ = 0.583, p < 0.001). The study concludes that Power BI is an effective tool for financial performance dashboard development and can support efficient financial reporting, visualization, monitoring, and data-driven decision-making.

KEYWORDS

Power BI Business Intelligence Financial Performance Dashboard Financial Reporting Data Visualization Decision-Making.

Cite This Article

DEVIKA P, DR.R. SENTHIL KUMAR, "A STUDY ON USING POWER BI IN FINANCIAL PERFORMANCE DASHBOARD," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-3, Aug 2026. https://doi.org/10.55041/IJSREM66859

Full Article/Conclusion

ü 75.9% of respondents were familiar with Power BI. ü Power BI received a positive effectiveness score of 4.13. ü Charts and graphs were the most preferred visualization tool, with a mean score of 4.22. ü Ease of dashboard development had a significant positive relationship with financial reporting quality (ρ = 0.583, p < 0.001). ü The questionnaire showed excellent reliability, with a Cronbach’s Alpha value of 0.955.

References

ü Elgendy, N. M., & Elragal, A. (2020). Business Intelligence and Big Data Analytics. ü Sharda, R., Delen, D., & Turban, E. (2020). Business Intelligence, Analytics, and Data Science. Pearson. ü Singh, J., Kumar, A., Singh, G., & Kaur, J. (2023). Data Visualization for Developing Effective Performance Dashboard with Power BI. ü Silva, L. C. (2021). Business Intelligence: Power BI as a Tool for Analyzing Financial Statements.

Editorial & Review Transparency

Publication Date

8/20/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...