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Financial Risk Analysis Dashboard
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
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How to cite this paper
@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}
}