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Exam IIA-CIA-Part3 topic 2 question 389 discussion

Actual exam question from IIA's IIA-CIA-Part3
Question #: 389
Topic #: 2
[All IIA-CIA-Part3 Questions]

An internal auditor was assigned to test for ghost employees using data analytics. The auditor extracted employee data from human resources and payroll. Using spreadsheet functions, the auditor matched data sets by name and assumed that employees who were not present in each data set should be investigated further. However, the results seemed erroneous, as very few employees matched across all data sets. Which of the following data analytics steps has the auditor most likely omitted?

  • A. Data analysis
  • B. Data diagnostics
  • C. Data velocity
  • D. Data normalization
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Suggested Answer: D 🗳️

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e6ad5a7
1 month ago
Selected Answer: D
The auditor most likely omitted "data normalization". Data normalization is the process of organizing data to ensure consistency and eliminate redundancy. When dealing with multiple data sets, such as HR and payroll data, normalization ensures that the data is in a comparable format. Without normalization, discrepancies like different naming conventions, formats, or data entry errors can lead to mismatches, as seen in the auditor's results.
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95529e0
4 months ago
Selected Answer: D
I believe its D
upvoted 2 times
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