AUIQ Technical Engineering Science

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.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.