What are the Weaknesses of Directly-Follows Approaches?

Directly-Follows approaches (Directly-Follows Graphs, DFG) build process models solely from which activity immediately follows another. This purely sequential view cannot correctly represent concurrency, loops, and genuine dependencies, and is also sensitive to noise and incomplete data. The result is often inaccurate or misleading models.

Why does this matter?

Because many process mining tools rely on DFGs, they frequently produce cluttered "spaghetti diagrams" and false causal assumptions. Understanding these weaknesses allows you to deliberately choose more expressive methods such as Event Knowledge Graphs and Causal Process Mining.