Isaca Exam CISA Topic 5 Question 93 Discussion

Actual exam question for Isaca's CISA exam

Question #: 93
Topic #: 5

[All CISA Questions]

An organization has decided to build a data warehouse using source data from several disparate systems to support strategic decision-making.

Which of the following is the BEST way to ensure the accuracy and completeness of the data used to support business decisions?

AThe source data is pre-selected so that it already supports senior management's desired business decision outcome.

BThe source data is from the current year of operations so that irrelevant data from prior years is not included.

CThe source data is modified in the data warehouse to remove confidential or sensitive information.

DThe source data is standardized and cleansed before loading into the data warehouse.

Show Suggested Answer

Suggested Answer: D

by Tyra at Dec 07, 2024, 03:43 AM

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Rikki

5 months ago

D all the way! Standardizing and cleansing the data is the only way to ensure you're not making decisions based on a hot mess. Kinda like cleaning up your room before your mom comes to inspect, you know?

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Vicki

4 months ago

Exactly, having clean and standardized data is key for strategic decision-making.

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Sanda

4 months ago

It's like making sure all the puzzle pieces fit together perfectly before you start building.

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Lisha

4 months ago

Yeah, standardizing and cleansing the data is crucial for making informed business decisions.

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Kris

4 months ago

I agree, D is definitely the best option to ensure the data is accurate and complete.

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Gail

5 months ago

That's a good point, Freida. Removing confidential information is important too, but I still think standardizing and cleansing the data is the best way to ensure accuracy.

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Emerson

5 months ago

Haha, option A? Really? Pre-selecting data to support predetermined decisions? That's like cheating on a test, but for business decisions. Nah, gotta go with D, my man.

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Freida

5 months ago

But what about modifying the data to remove confidential information? Wouldn't that also be important for accuracy?

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Isidra

5 months ago

I'm pretty sure D is the right answer here. Modifying the data to remove sensitive info is a bad idea, and the other options just don't seem to address the core issue of data quality.

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Glenn

4 months ago

I think we're all on the same page here. D is the most effective way to ensure the data is accurate and complete for strategic decision-making.

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Paris

4 months ago

Yeah, removing sensitive information could lead to inaccurate analysis. D is the way to go.

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Major

5 months ago

Standardizing and cleansing the source data before loading it into the data warehouse is crucial for data quality.

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Frederica

5 months ago

I agree, D is definitely the best option to ensure accurate and complete data.

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Mohammad

5 months ago

I agree with Gail. Standardizing and cleansing the data will ensure accuracy and completeness.

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Aja

5 months ago

D is the way to go! Standardizing and cleansing the data is crucial for ensuring accuracy and completeness. Gotta get rid of that dirty data, you know?

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Gilma

4 months ago

Absolutely, dirty data can lead to incorrect analysis and decisions. D is the way to go!

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Jesusita

5 months ago

It's important to have clean data in the data warehouse to make informed business decisions.

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Delsie

5 months ago

Standardizing and cleansing the data will help eliminate any errors or inconsistencies.

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Lauran

5 months ago

I agree, D is definitely the best option for ensuring accurate and complete data.

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Gail

5 months ago

I think the best way is to standardize and cleanse the source data before loading it into the data warehouse.

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