This paper explores the construction of data-driven business process optimization (BPO) models through the integration of KPI-linked dashboards using Power BI and Excel analytics. By grounding optimization efforts in well-identified and strategically aligned KPIs, organizations gain enhanced visibility into performance metrics that drive operational efficiency. The study examines the theoretical foundations of BPO, highlighting the critical role of measurable KPIs and data-driven decision-making frameworks rooted in continuous improvement methodologies. It further analyzes the strengths of Power BI’s interactive real-time visualizations and Excel’s structured reporting capabilities, demonstrating their complementary use in monitoring and improving business processes. Key design principles for effective dashboard construction and seamless integration into business workflows are discussed, emphasizing user-centric layouts and feedback loops to support iterative optimization. The findings underscore the transformative potential of accessible analytics tools in empowering decision-makers across sectors and call for future research on adaptive, integrated dashboard systems in dynamic business environments.