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Why does extracted data typically need to be transformed? Note: There are 2 correct answers to this question.
Correct Answer: A,D
In Process Mining, data extracted from source systems often requires transformation to be usable for analysis. The SAP Signavio documentation explains: * Option A (To standardize and make uniform the extracted data):Extracted data from various systems may have inconsistent formats, naming conventions, or units. Transformation standardizes this data to ensure compatibility with Process Mining tools. * Option D (To create an event log and case attributes table):Transformation is essential to structure raw data into an event log (containing case ID, timestamp, and activity) and case attributes table, which are required for Process Mining analysis. * Option B (To create additional tables to join to the event log and case attributes table)is incorrect as creating additional tables is not a primary reason for transformation; joining tables is a secondary step. Reference:SAP Signavio Process Intelligence ETL Guide, section on Data Transformation; SAP Certified Associate - Process Data Analyst Study Guide, Chapter 5: Data Preparation for Process Mining.
