Discover essential insights on extracting system logs and creating data models in Process Mining projects, emphasizing crucial steps from a seasoned expert in business process management.
A new blog post of What’s Your Baseline was published on Jan 30, 2025, with the original title:
Six Steps For Process Mining Project Success (Pt. 2) — System Logs & Data Model
Overview:
This article discusses critical steps 2 and 3 in executing a Process Mining project, focusing on extracting necessary system logs and creating a comprehensive data model. These steps are essential in ensuring successful analysis and stakeholder engagement.
Core content:
- Step 2 involves meticulous identification of source systems and the extraction of relevant system logs to support the Process Mining analysis, emphasizing the need for accuracy in data collection.
- Importing data into a graphical modeling tool can enhance stakeholder collaboration, making data transformations more accessible than raw coding techniques.
- Creating an accurate event log is crucial as errors at this stage can lead to incorrect analysis outcomes, impacting subsequent recommendations and decisions.
Learnings:
- Readers will learn to identify relevant systems and determine effective strategies for data extraction, ensuring accurate and efficient processes in Process Mining.
- Utilizing graphical tools for data modeling fosters stakeholder engagement, making it easier to validate data transformations and improve outcomes.
- Understanding how to structure an event log and validate the data model can significantly enhance the reliability of findings derived from Process Mining activities.
The original content was published in English.
