IIA Exam IIA-CIA-Part3 Topic 7 Question 89 Discussion

Actual exam question for IIA's IIA-CIA-Part3 exam

Question #: 89
Topic #: 7

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?

AData analysis.

BData diagnostics.

CData velocity.

DData normalization.

Show Suggested Answer

Suggested Answer: D

by Gerry at Sep 17, 2024, 09:44 AM

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Norah

9 months ago

Haha, sounds like the auditor needs to brush up on their data analysis skills. Maybe they should consider a career in comedy instead of auditing - at least they'd be good at spotting the ghosts.

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Elfrieda

8 months ago

B) Data diagnostics.

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Ciara

8 months ago

C) Data velocity.

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Lonna

9 months ago

A) Data analysis.

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Jerlene

10 months ago

Maybe the auditor should have also considered data normalization to standardize the data for accurate comparison.

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Reuben

10 months ago

Yeah, I agree. Data diagnostics helps in identifying errors and inconsistencies in the data.

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Nobuko

10 months ago

I think the auditor forgot to do data diagnostics.

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Glen

10 months ago

Data normalization, for sure. Gotta make sure all the names and IDs are in the same format across the systems. Rookie mistake, if you ask me.

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Ligia

8 months ago

It's a common mistake, but one that can easily be fixed with proper data normalization.

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Adelina

9 months ago

The auditor should have definitely included data normalization in their process.

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Teresita

9 months ago

I agree, without normalizing the data, it's easy to miss important information.

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Annabelle

9 months ago

Yeah, data normalization is key. It helps ensure consistency in the data.

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Sage

10 months ago

Wait, so the auditor didn't even check for data quality issues before jumping to conclusions? That's like trying to build a house without checking the foundation first.

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Alex

9 months ago

C) Data velocity.

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Wenona

9 months ago

B) Data diagnostics.

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Floyd

10 months ago

A) Data analysis.

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Yolande

10 months ago

The auditor probably forgot to standardize the data formats. You know, some people like to use nicknames or abbreviations, and that can really mess up the matching process.

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