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Home » Honors peer-graded assignment: applying process mining on real data
Honors peer-graded assignment: applying process mining on real data
Mining

Honors peer-graded assignment: applying process mining on real data

bitcoinstalkingBy bitcoinstalkingFebruary 15, 2023Updated:February 22, 2023No Comments2 Mins Read
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I can guide an honors peer-graded assignment on applying process mining to real data. Here are some steps you can follow:

  1. Identify a real-world process to analyze: Select a process in an organization or industry that interests you, such as a manufacturing process, supply chain process, or financial process. Make sure the data is available for analysis.
  2. Preprocess the data: Data preprocessing is the first step in any process mining analysis. It involves cleaning, transforming, and enriching the data to make it suitable for analysis. You may need to remove irrelevant data, fill in missing values, and aggregate the data to an appropriate level of granularity.
  3. Create a process model: Once you have preprocessed the data, create a model to represent the process you are analyzing. You can use a process modeling tool or software such as ProM or Celonis to create the model.
  4. Apply process mining techniques: Apply various process mining techniques such as process discovery, conformance checking, and performance analysis to the process model. These techniques can help you identify bottlenecks, inefficiencies, and opportunities for improvement in the process.
  5. Interpret the results: Once you have applied the process mining techniques, interpret the results and draw conclusions. Identify the key findings and make recommendations for process improvement.
  6. Document the analysis: Document your analysis in a clear and concise report. Including a description of the process, data preprocessing, process modeling, process mining techniques applied, results, and recommendations.
  7. Peer-review: Submit your report for peer review, and evaluate your peers’ reports in turn. Make sure to provide constructive feedback to help your peers improve their analysis.
  8. Revise and resubmit: Incorporate feedback from your peers and revise your report before resubmitting it for final grading.

Overall, the process mining approach can be a powerful tool to uncover hidden inefficiencies, bottlenecks, and opportunities for process improvement in real-world processes. Make sure to choose an appropriate process to analyze and carefully document your analysis to provide meaningful insights to stakeholders.

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