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Isaca CISA Exam - 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?

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Suggested Answer: D

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

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Tiffiny
3 months ago
Removing sensitive info is important, but not the main focus here.
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Refugia
3 months ago
Cleansing data is definitely the best approach.
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Pok
3 months ago
Surprised that people think current year data is enough!
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Alverta
4 months ago
I think pre-selecting data could lead to bias.
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Chaya
4 months ago
Standardizing and cleansing data is a must!
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Audry
4 months ago
Pre-selecting data to fit management's decisions, like in option A, seems risky. I recall a practice question where bias in data selection led to poor outcomes.
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Dong
4 months ago
I think modifying data to remove sensitive info, as mentioned in option C, is important, but it doesn't really address accuracy and completeness overall.
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Junita
4 months ago
I'm not entirely sure, but I feel like just using current year data, like in option B, might overlook valuable historical insights.
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Lajuana
5 months ago
I remember discussing the importance of data cleansing in class, so I think option D might be the best choice.
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Douglass
5 months ago
I'm a little confused by this question. The options seem to be focused on different aspects of the data, but I'm not sure which one is the "BEST" approach. I might need to review my notes on data warehousing to make sure I understand the key principles here.
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Terry
5 months ago
Option D definitely stands out to me as the best choice. Standardizing and cleansing the data before loading it into the data warehouse is crucial to maintaining data quality and integrity. The other options seem to be more about manipulating the data, which could compromise its accuracy.
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Pura
5 months ago
Hmm, I'm a bit unsure about this one. The options all seem to be talking about the source data, but I'm not sure which one is the "BEST" way to ensure accuracy and completeness. I'll have to think this through carefully.
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Huey
5 months ago
This question seems straightforward - the key is ensuring the data is accurate and complete before it's used for decision-making. I think option D is the best choice here.
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Rikki
1 year 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
1 year ago
Exactly, having clean and standardized data is key for strategic decision-making.
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Sanda
1 year ago
It's like making sure all the puzzle pieces fit together perfectly before you start building.
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Lisha
1 year ago
Yeah, standardizing and cleansing the data is crucial for making informed business decisions.
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Kris
1 year ago
I agree, D is definitely the best option to ensure the data is accurate and complete.
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Gail
1 year 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
1 year 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
1 year ago
But what about modifying the data to remove confidential information? Wouldn't that also be important for accuracy?
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Isidra
1 year 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
1 year 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
1 year ago
Yeah, removing sensitive information could lead to inaccurate analysis. D is the way to go.
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Major
1 year ago
Standardizing and cleansing the source data before loading it into the data warehouse is crucial for data quality.
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Frederica
1 year ago
I agree, D is definitely the best option to ensure accurate and complete data.
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Mohammad
1 year ago
I agree with Gail. Standardizing and cleansing the data will ensure accuracy and completeness.
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Aja
1 year 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
1 year ago
Absolutely, dirty data can lead to incorrect analysis and decisions. D is the way to go!
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Jesusita
1 year ago
It's important to have clean data in the data warehouse to make informed business decisions.
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Delsie
1 year ago
Standardizing and cleansing the data will help eliminate any errors or inconsistencies.
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Lauran
1 year ago
I agree, D is definitely the best option for ensuring accurate and complete data.
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Gail
1 year 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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