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Abstract

Microsoft Power BI and Power Automate enhances project tracking by improving data accuracy, reducing manual effort, and delivering timely insights. The automation-driven approach leads to significant time savings and fewer reporting errors, contributing to more efficient and informed project management. Despite the availability of digital tools, there is limited research on unified frameworks that combine automation, data visualization, and real-time feedback for holistic project management. This study addresses this gap by evaluating an integrated system applied to a real-world project over one fiscal year, offering practical insights and measurable outcomes. Present study explores how Power BI enhances data accuracy and efficiency in project management through automation and visualization. Through the analysis of case studies and real-world examples, the positive impact of Microsoft power automate is illustrated on key project management domains such as budget tracking, timeline management, and risk mitigation. Additionally, the study delves into the integration of Microsoft power automate with power business intelligence, measure the time taken to retrieve data, report rendering, and evaluate the system's responsiveness in processing user inputs while maintaining data accuracy, cross-validating with other tools, gathering user feedback on consistency. Despite acknowledging the challenges and limitations of Microsoft power automate, the study offers practical recommendations for successful implementation of Microsoft power automate for efficient project management. This led to time savings of 40%, depending on the complexity and frequency of reporting tasks. Moreover, it also reduces the likelihood of manual errors associated with data entry, calculations, and report generation. Error reductions decline to 37.5%, depending on the complexity and volume of data handled. The findings offer a practical roadmap for organizations to modernize project management by adopting integrated automation and analytics tools, ultimately enhancing decision-making, reducing operational inefficiencies, and improving project outcomes.

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