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SAP Exam C_SIGDA_2403 Topic 7 Question 29 Discussion

Actual exam question for SAP's C_SIGDA_2403 exam
Question #: 29
Topic #: 7
[All C_SIGDA_2403 Questions]

Why does extracted data typically need to be transformed?Note: There are 2 correct answers to this question.

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Suggested Answer: B, D

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. Reference: SAP Signavio Process Intelligence Documentation


Contribute your Thoughts:

Latrice
22 days ago
I'm going with option B as well. Transforming the data is crucial to ensure it's in a usable state for analysis or visualization.
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Sheridan
4 days ago
I agree, transforming the data is key for accurate analysis and visualization.
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Rosalind
7 days ago
Option B is definitely the way to go. It helps make the data consistent.
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Gabriele
23 days ago
But isn't transforming the data also important to ensure its accuracy?
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Evangelina
25 days ago
To uniform and standardize the extracted data seems like the obvious choice here. We need to get all the data in a consistent format before we can do anything else with it.
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Mona
1 months ago
I agree with Wilford. Standardizing the data makes it easier to analyze.
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Wilford
1 months ago
I think the extracted data needs to be transformed to standardize it.
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