Systematic approaches to analyzing business processes for automation suitability, including process mining techniques, documentation methods, and optimization strategies.
Learners will master techniques for analyzing business processes, create detailed process documentation, identify automation opportunities using process mining tools, optimize workflows for RPA implementation, and develop business cases for automation projects.
Comprehensive coverage of process discovery methodologies including interviews, observations, workshops, and automated discovery tools for creating accurate process documentation.
Advanced techniques for using process mining software to analyze event logs, discover process variants, identify inefficiencies, and validate automation opportunities through data analysis.
Techniques for process optimization including elimination of redundancies, standardization of variations, exception handling strategies, and preparation of processes for successful RPA deployment.
Complete framework for developing compelling business cases including financial modeling, risk analysis, implementation planning, and stakeholder communication strategies for RPA initiatives.
Structured approaches to assess automation feasibility including complexity scoring, ROI calculation, risk assessment, and prioritization matrices for automation candidate selection.