Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated dashboards help categorize risks, track mitigation progress, and assess their severity, occurrence, and detection probability. This research highlights the significant role of Power BI in promoting efficiency, reducing delays, and enabling proactive risk management in infrastructure projects. By leveraging the advanced data processing and visualization capabilities of Power BI, large volumes of raw data are systematically converted into interactive and user-friendly dashboards. These dashboards facilitate effective classification of risks, continuous monitoring of mitigation strategies, and comprehensive evaluation based on parameters such as severity, occurrence, and detection probability. The approach enables project stakeholders to gain real-time insights into potential risks and supports timely decision-making.Furthermore, the implementation of Power BI enhances transparency, improves communication among project teams, and minimizes the likelihood of delays and cost overruns. The findings of this study emphasize the importance of integrating business intelligence tools in construction management to achieve efficient, accurate, and proactive risk management. Overall, the research demonstrates that Power BI serves as a powerful platform for transforming conventional risk management practices into a more structured, data-centric, and intelligent system.

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1. Gajera R. Integrating Power Bi with project control systems: Enhancing real-time cost tracking and visualization in construction. Int J Sci Res Civ Eng. 2023. ISSN: 2456–6667.
2. Kadcha Y, Legmouz D, Hajji R. An integrated BIM-Power Bi approach for data extraction and visualization. Int Arch Photogramm Remote Sens Spatial Inf Sci. 2022;XLVIII-4/W4-2022.
3. Canivel MEDR, Cagungun RA, Adem AVL, Almario RRR, Barbosa RM, Canlas JCO, et al. Assessment of strategic automated dashboard in progress monitoring of construction projects using Power Bi. Int J Sci Res Eng Dev. 2024;7(3).
4. Rodrigues F, Alves AD, Matos R. Construction management supported by BIM and a business intelligence tool. Energies. 2022;15:3412. doi: 3390/en15093412.
5. García PA. Analysis and visualization of financial data with Power Bi. 2023. doi: 13140/RG.2.2.12718.89929.
6. Sacks A, Eastman R, Lee G, Teicholz P. BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers. 3rd ed. Hoboken (NJ): Wiley; 2018.
7. Volk M, Stengel J, Schultmann F. Building information modeling (BIM) for existing buildings—Literature review and future needs. Autom Constr. 2014;38:109–127.
8. Azhar S. Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadersh Manag Eng. 2011;11(3):241–252.
9. Jain AK, Patel SS. Application of business intelligence tools in construction project management. Int J Eng Res Technol (IJERT). 2021;10(5).
10. Microsoft Corporation. Power BI documentation: Data visualization and business intelligence tool. 2023. Available from: https://learn.microsoft.com/en-us/power-bi/.

Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated dashboards help categorize risks, track mitigation progress, and assess their severity, occurrence, and detection probability. This research highlights the significant role of Power BI in promoting efficiency, reducing delays, and enabling proactive risk management in infrastructure projects. By leveraging the advanced data processing and visualization capabilities of Power BI, large volumes of raw data are systematically converted into interactive and user-friendly dashboards. These dashboards facilitate effective classification of risks, continuous monitoring of mitigation strategies, and comprehensive evaluation based on parameters such as severity, occurrence, and detection probability. The approach enables project stakeholders to gain real-time insights into potential risks and supports timely decision-making.Furthermore, the implementation of Power BI enhances transparency, improves communication among project teams, and minimizes the likelihood of delays and cost overruns. The findings of this study emphasize the importance of integrating business intelligence tools in construction management to achieve efficient, accurate, and proactive risk management. Overall, the research demonstrates that Power BI serves as a powerful platform for transforming conventional risk management practices into a more structured, data-centric, and intelligent system.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Gajera R. Integrating Power Bi with project control systems: Enhancing real-time cost tracking and visualization in construction. Int J Sci Res Civ Eng. 2023. ISSN: 2456–6667.
2. Kadcha Y, Legmouz D, Hajji R. An integrated BIM-Power Bi approach for data extraction and visualization. Int Arch Photogramm Remote Sens Spatial Inf Sci. 2022;XLVIII-4/W4-2022.
3. Canivel MEDR, Cagungun RA, Adem AVL, Almario RRR, Barbosa RM, Canlas JCO, et al. Assessment of strategic automated dashboard in progress monitoring of construction projects using Power Bi. Int J Sci Res Eng Dev. 2024;7(3).
4. Rodrigues F, Alves AD, Matos R. Construction management supported by BIM and a business intelligence tool. Energies. 2022;15:3412. doi: 3390/en15093412.
5. García PA. Analysis and visualization of financial data with Power Bi. 2023. doi: 13140/RG.2.2.12718.89929.
6. Sacks A, Eastman R, Lee G, Teicholz P. BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers. 3rd ed. Hoboken (NJ): Wiley; 2018.
7. Volk M, Stengel J, Schultmann F. Building information modeling (BIM) for existing buildings—Literature review and future needs. Autom Constr. 2014;38:109–127.
8. Azhar S. Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadersh Manag Eng. 2011;11(3):241–252.
9. Jain AK, Patel SS. Application of business intelligence tools in construction project management. Int J Eng Res Technol (IJERT). 2021;10(5).
10. Microsoft Corporation. Power BI documentation: Data visualization and business intelligence tool. 2023. Available from: https://learn.microsoft.com/en-us/power-bi/.