What are “data models” in Celonis Process Mining?

In Celonis Process Mining, data models are structures that define how data is organized and used. They serve as a blueprint that establishes the relationships between different data entities and how these entities interact with one another. By outlining how various data points relate to specific processes, data models enable effective analysis and visualization of process performance. This organization is crucial for deriving insights from the data, allowing users to make informed decisions based on process mining analyses.

The other options do not capture the essence of what data models are in the context of Celonis Process Mining. While visual presentations, automated reports, and advanced analytics are important aspects of data utilization, they do not specifically represent the role of data models. Instead, data models underpin these functionalities, allowing for the effective arrangement and interpretation of data in process mining applications.