Enhancing Project Management Performance Through Data Visualization Using Microsoft Power BI

Effective project management requires continuous monitoring of schedules, budgets, resources, and project deliverables. However, organizations often collect project information from multiple sources, making it difficult for managers to obtain a clear understanding of overall project performance. Traditional reporting methods, particularly manually maintained spreadsheets and static reports, can delay the identification of project problems and limit informed decision-making. This research examines the role of data visualization and business intelligence in improving project management through Microsoft Power BI. A conceptual framework is proposed to integrate project information, transform raw data, calculate key performance indicators (KPIs), and present results through interactive dashboards. The framework focuses on project completion, schedule variance, cost variance, budget utilization, resource allocation, and risk monitoring. A literature-based research methodology is adopted to examine existing studies on project success, performance measurement, business intelligence, and dashboard visualization. The proposed approach demonstrates how Power BI can provide a centralized reporting environment and improve the accessibility and interpretation of project information. The study concludes that integrating business intelligence with project management can support transparency, performance monitoring, and evidence-based decisions, provided that the underlying data is accurate and regularly updated.