An Application of Process Mining in Organizational Process Redesign

In the competitive business environment, organizations face challenges such as rapid customer needs changes and uncertainty, necessitating continuous adjustments in business processes to maintain competitive advantage. Fundamental changes can lower service costs, reduce time, and ultimately increase profitability. Organizations increasingly leverage information technology to convert traditional processes into web-based systems, enabling detailed data collection that enhances process analysis through a method known as process mining. This study focused on redesigning the logistics process at a private bank, utilizing three process mining techniques: discovery, adaptation, and improvement, with Disco 2.14 software. Data was extracted from the bank’s automation and administrative correspondence systems, allowing for a comprehensive analysis of the software outputs. The study identified process indicators, evaluated the adaptation of existing processes, and extracted values using an optimal process. Finally, the research provided suggestions to improve these processes, highlighting the potential of process mining in enhancing efficiency and effectiveness within organizational frameworks. The findings underscore the importance of adapting business processes to meet evolving market demands and leverage technology for improved operational performance.