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1716868 Vol 9 · Issue 10 Download Paper

Financial Risk Analysis Dashboard

Tanmay Nachare Akshad Rai Vidhan Jadhav

Subject area: Science,Engineering and Technology  ·  Area of research: bussiness

DOI: 10.64388/IREV9I10-1716868

Abstract

Financial risk management is essential for organizations operating in dynamic and uncertain market environments. Traditional methods of analyzing financial data are often inefficient and fail to provide real-time insights. This paper presents a Financial Risk Analysis Dashboard developed using Microsoft Power BI. The system integrates financial datasets and provides interactive visualizations such as Key Performance Indicators (KPIs), bar charts, pie charts, and trend analysis. The dashboard enables users to identify high-risk areas, monitor financial performance, and support decision-making. The results demonstrate that visualization-driven analytics significantly improves risk detection and operational efficiency.

Keywords

Financial Risk, Power BI, Dashboard, Data Visualization, Risk Analysis, Business Intelligence, DAX, KPI

References

[1] J. Smith, "Financial Risk Prediction Using Machine Learning," Journal of Financial Analytics, vol. 5, no. 2, pp. 45-58, 2020.

[2] M. Johnson, "Credit Risk Dashboard Systems," International Journal of Banking Technology, vol. 3, no. 1, pp. 12-24, 2019.

[3] R. Kumar, "Big Data in Financial Risk Analysis," IEEE Transactions on Big Data, vol. 7, no. 4, pp. 890-902, 2021.

[4] L. Wang, "Real-Time Financial Monitoring Systems," Journal of Business Intelligence, vol. 2, no. 3, pp. 67-79, 2018.

[5] S. Patel, "Power BI Applications in Finance," International Journal of Data Science, vol. 9, no. 2, pp. 34-46, 2022.

[6] T. Brown, "Data Visualization Techniques," IEEE Software, vol. 34, no. 6, pp. 78-85, 2017.

[7] A. Singh, "AI in Financial Risk Analysis," Journal of AI Research, vol. 12, no. 1, pp. 23-36, 2023.

[8] N. Gupta, "Risk Analytics Models," International Journal of Finance, vol. 6, no. 3, pp. 56-68, 2021.

[9] R. Shah, "Dashboard Design Principles," Journal of Information Systems, vol. 4, no. 2, pp. 89-101, 2020.

[10] K. Mehta, "Financial Systems Engineering," International Journal of Engineering, vol. 8, no. 5, pp. 112-124, 2019.

[11] H. Lee, "Business Intelligence Tools," ACM Computing Surveys, vol. 53, no. 4, pp. 1-35, 2018.

[12] P. Verma, "Modern Risk Management Systems," Journal of Risk Analysis, vol. 15, no. 1, pp. 44-57, 2022.

How to cite this paper

Tanmay Nachare, Akshad Rai, Vidhan Jadhav "Financial Risk Analysis Dashboard" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 3386-3389 https://doi.org/10.64388/IREV9I10-1716868
Tanmay Nachare, Akshad Rai, Vidhan Jadhav "Financial Risk Analysis Dashboard" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026, doi: https://doi.org/10.64388/IREV9I10-1716868
Tanmay Nachare, Akshad Rai, Vidhan Jadhav (2026). Financial Risk Analysis Dashboard. Iconic Research And Engineering Journals, 9(10). doi: https://doi.org/10.64388/IREV9I10-1716868
Tanmay Nachare, Akshad Rai, Vidhan Jadhav "Financial Risk Analysis Dashboard" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026. Crossref, https://doi.org/10.64388/IREV9I10-1716868
@article{1716868,
      author = {Tanmay Nachare, Akshad Rai, Vidhan Jadhav},
      title = {Financial Risk Analysis Dashboard},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {3386-3389},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716868.pdf},
      abstract = {Financial risk management is essential for organizations operating in dynamic and uncertain market environments. Traditional methods of analyzing financial data are often inefficient and fail to provide real-time insights. This paper presents a Financial Risk Analysis Dashboard developed using Microsoft Power BI. The system integrates financial datasets and provides interactive visualizations such as Key Performance Indicators (KPIs), bar charts, pie charts, and trend analysis. The dashboard enables users to identify high-risk areas, monitor financial performance, and support decision-making. The results demonstrate that visualization-driven analytics significantly improves risk detection and operational efficiency.},
      keywords = {Financial Risk, Power BI, Dashboard, Data Visualization, Risk Analysis, Business Intelligence, DAX, KPI},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1716868}
  }