process.science Description

Process mining represents a modern digital method for integrating business data assessment with the enhancement of processes. Each activity within a company is associated with a distinct process instance known as 'Cases.' The ERP system captures all pertinent transaction data related to this process in log files referred to as 'event logs.' A basic event log must include three essential pieces of information. Once this data is available, you can immediately begin your analysis. The case identifier serves to connect all events pertaining to a specific business case into a unique sequence. The activity name provides details about which process step has been performed. Lastly, the timestamp indicates when a specific activity occurred. By linking the information from Case ID, Activity, and Timestamp, process mining constructs a flow of the process in the correct order and visualizes it, presenting valuable insights into process efficiency. The analytical opportunities available through process mining are virtually limitless, contingent solely upon the quality and quantity of data input into the mining software, enabling organizations to continually refine and enhance their operations.

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Modern Information Systems (ISs) accumulate vast quantities of data regarding the business processes they facilitate. This data serves as a foundation for process mining, enabling organizations to scrutinize their operational processes based on empirical evidence rather than assumptions. For instance, this can involve analyzing the workflow of a loan application at a bank or evaluating the patient care procedures in a hospital. Currently, there is a growing interest in process mining within both industry and academic settings. Consequently, the availability of various process mining tools is on the rise. Despite this growth, existing tools do not support the creation and execution of comprehensive analysis workflows that utilize multiple process mining algorithms. This limitation forces analysts to repetitively conduct process mining tasks by hand, making scientific experimentation in this area labor-intensive. To address this challenge, we have integrated RapidMiner, a platform that enables the design and execution of analysis workflows, with the ProM 6 process mining framework, thereby enhancing efficiency and effectiveness in process mining endeavors. This integration aims to streamline the analysis process, ultimately improving productivity for analysts in the field.
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Company:
process.science
Headquarters:
Germany
Website:
www.process.science/benefits

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