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Agrawal, R., Gunopulos, D., Lehmann, F.: Mining process models from workflow logs. In: She, H.J., Salton, F., Ramos, I., Alonso, G. (eds.) EDIT 1998. LCS, vol. 1377, pp. 469483. Springer, Heidelberg
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How to fill out 2 workflow mining:

01
First, gather all relevant information related to the workflow you want to analyze. This includes any available data, process diagrams, and documentation.
02
Next, identify the key steps or activities within the workflow that you want to focus on for the mining process.
03
Use a suitable workflow mining tool or software to extract data and patterns from the chosen workflow. This may involve analyzing event logs, execution traces, or other relevant data sources.
04
Apply the appropriate mining techniques to uncover patterns, trends, and bottlenecks within the workflow. This could include process discovery, conformance checking, performance analysis, or predictive modeling.
05
Document and interpret the results of the mining process. Identify any anomalies, inefficiencies, or areas for improvement within the workflow.
06
Develop recommendations or action plans based on the insights gained from the workflow mining. These may involve process redesign, automation, or optimization strategies.

Who needs 2 workflow mining:

01
Organizations that have complex and dynamic workflows can benefit from workflow mining. This includes industries such as manufacturing, healthcare, finance, and logistics where processes involve multiple steps and interactions.
02
Business analysts and process improvement specialists who are responsible for identifying bottlenecks, inefficiencies, and opportunities for optimization within workflows.
03
Project managers and team leads who want to gain a deeper understanding of how their team carries out specific tasks and identify potential areas for workflow redesign or automation.
04
Compliance and risk management professionals who need to ensure that workflows adhere to regulatory requirements and identify any deviations or non-compliance.
05
Researchers and academics who study process mining or want to analyze workflows to gain insights for academic papers, thesis, or other research purposes.
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2 workflow mining is the process of analyzing and extracting information from workflows to improve efficiency and productivity.
Companies and organizations that want to optimize their processes and identify bottlenecks typically file 2 workflow mining.
To fill out 2 workflow mining, one must collect data on workflows, analyze the data using tools and techniques, and make recommendations for improvement.
The purpose of 2 workflow mining is to identify inefficiencies in processes, improve productivity, and streamline operations.
Information such as process sequences, activity durations, and resource allocations must be reported on 2 workflow mining.
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