Which of the following should be the PRIMARY consideration when validating a data analytic algorithm that has never been used before?

The correct answer is B. Confirming completeness and accuracy. When validating a data analytic algorithm that has never been used before, the primary consideration should be ensuring completeness and accuracy of the algorithm's output. This ensures that the algorithm processes data correctly, produces reliable results, and supports…

Submitted by tunde_lagos· Apr 18, 2026Information Systems Acquisition, Development, and Implementation

Question

Options

AIncreasing speed and efficiency of audit procedures
BConfirming completeness and accuracy
CEnhancing the design of data visualization
DDecreasing the time for data analytics execution

How the community answered

(65 responses)

A
6% (4)
B
89% (58)
C
2% (1)
D
3% (2)

Explanation

When validating a data analytic algorithm that has never been used before, the primary consideration should be ensuring completeness and accuracy of the algorithm's output. This ensures that the algorithm processes data correctly, produces reliable results, and supports decision-making or audit objectives effectively. Without validated accuracy and completeness, other factors such as speed or visualization enhancements are irrelevant.

Topics

#Data validation#Algorithm testing#Data integrity#Audit analytics

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