VII. Data-Driven Improvement

Root Cause and Data Analysis for Improvement

• Using data analytics for operational decisions
• Regression, hypothesis testing, control charts

Digital Process Improvement and Automation Readiness

• RPA (Robotic Process Automation) opportunity identification
• Process mining and performance analytics

Project Selection and Prioritization using Pareto and ROI Methods

• Prioritizing improvement initiatives for impact
• Building a project pipeline and governance structure