What does "data extraction" entail in Celonis Process Mining?

Data extraction in Celonis Process Mining refers to the process of importing event logs from various sources into the system. This step is crucial, as it allows the process mining tool to access the raw data necessary to analyze and visualize processes effectively. The extracted data typically includes information about the events that occur during business processes, such as timestamps, activities, and relevant identifiers. Without this foundational step, the subsequent analysis and insights that can be derived from process mining cannot be accomplished, as there would be no data available for the analysis.

In contrast, creating data visualizations, filtering irrelevant data, and exporting processed data are subsequent actions or functionalities that leverage the data once it has been successfully extracted. These activities are dependent on having the correct input data in place, which highlights the fundamental importance of the extraction phase in the process mining workflow.