What's Your Baseline? Enterprise Architecture & Business Process Management Demystified
Ep. 63 - Process Mining Data: Lotte Vugs
Feb 26, 2024
In this podcast, Lotte Vugs discusses the time-consuming aspect of data preparation in process mining projects. She highlights efficient strategies to reduce this time, the importance of managing time in large datasets, and the increasing demand for quicker data preparation. Listeners can learn more about Lotte's background, the challenges in process mining, and the development of Konekti for streamlined data preparation.
57:18
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Quick takeaways
- Efficient data preparation is crucial for successful process mining projects, focusing on identifying data storage locations and translating activities into system language.
- Data quality is a critical aspect in process mining projects, with issues like incorrect relations and diverse timestamp formats impacting insights, demanding quick validations for reliability.
Deep dives
Importance of Efficient Data Preparation for Process Mining Projects
Efficient data preparation is crucial for successful process mining projects. The process involves mapping out main process steps, translating them into the system's language, and identifying where the data is stored. By highlighting key milestones and properly relating objects and activities, the data transformation stage becomes smoother.
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