The transformation of extracted data is a critical step in process mining and analysis, primarily to ensure uniformity and accuracy. Uniforming and standardizing the extracted data is necessary to facilitate its analysis across different systems and processes, ensuring consistency in metrics and interpretations. Ensuring the correctness of all extracted data is also crucial to maintain the integrity of the analysis, as any inaccuracies can lead to flawed insights and decisions. Visualizing dependencies between cases and creating a log file with all events, while important, do not directly relate to the reasons why extracted data typically needs to be transformed.References:SAP Signavio Process Intelligence Documentation