Participants will learn to design, implement, and refine Key Performance Indicators (KPIs) that directly support financial, operational, training, and customer objectives, grounded in advanced doctoral-based methodologies. The course provides a comprehensive exploration of the full KPI lifecycle: working with leadership to identify strategic objectives, selecting and defining meaningful, actionable metrics, mapping data flows, and establishing robust, reliable data sources.
Through hands-on workshops, participants will practice collecting, cleansing, and validating data from multiple organizational systems, applying statistical methods to ensure data quality and integrity. They will learn to set ambitious yet attainable KPI targets, establish baseline benchmarks, and develop accountability frameworks—including performance scorecards and incentive alignment strategies. In-depth sessions address the creation of KPI documentation, data governance standards, and audit processes to ensure long-term reliability and transparency
Practical modules provide step-by-step instruction in dashboard design principles, advanced data visualization best practices, and hands-on use of industry-standard software for real-time KPI tracking and automated reporting. Participants will develop custom dashboards tailored to different audiences—including executive leadership, department managers, and frontline teams—and learn to automate alerts, generate periodic reports, and integrate KPI data with business intelligence platforms.