Organizations across various sectors implement standardized business processes to achieve desired outcomes, often visualized using BPMN. This study focuses on Business Process Improvement (BPI) within the Business Process Management (BPM) lifecycle. Unlike traditional BPM which treats failures as nuisances, this study explores AB testing, a method utilizing randomized experiments to evaluate changes and their effects on performance. Additionally, it highlights how Reinforcement Learning (RL) can dynamically enhance the AB testing process, ultimately optimizing system performance based on numerical rewards.
Business processes in organizations, standardized and documented, utilize a combination of activities to achieve specific results, often visualized through BPMN modeling.
AB testing introduces a method for assessing changes in business systems quickly by verifying through parallel testing whether the changes improve key performance metrics.
#business-processes #ab-testing #reinforcement-learning #business-process-improvement #performance-metrics
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