Designing Hyperautomation Strategies with Process Mining

Modern organizations generate vast amounts of operational data, yet identifying bottlenecks and automating workflows remains a significant challenge. This course introduces you to the powerful combination of process mining and hyperautomation, enabling you to transform raw event logs into actionable automation strategies. You will transition from understanding basic business processes to designing sophisticated, data-driven automation pipelines. By learning how to analyze digital footprints, you will identify high-impact automation opportunities that reduce costs and eliminate manual inefficiencies. What you'll learn: Understand the foundational principles of hyperautomation, process mining, and workflow orchestration; Analyze event logs and digital footprints to discover actual business process flows; Identify bottlenecks, deviations, and high-value opportunities suitable for automation; Apply process discovery techniques to map out complex organizational workflows; Design end-to-end hyperautomation strategies integrating AI, RPA, and modern decision engines; Evaluate automation performance using continuous monitoring and governance frameworks. The course begins with core definitions and the theoretical foundations of process discovery. You will then progress through step-by-step methodologies for analyzing event logs, designing automation pipelines, and establishing governance for long-term operational excellence. Designed for business analysts, process owners, and technology professionals new to automation, this course requires no prior programming or data science experience. Start reading today to unlock the power of data-driven process automation.