Discuss Isaca CISA Exam Topic 5 Question 93

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.

Suggested Answer: D

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33 comments · newest first

Tiffiny 10 months ago

Removing sensitive info is important, but not the main focus here.

Refugia 11 months ago

Cleansing data is definitely the best approach.

Pok 11 months ago

Surprised that people think current year data is enough!

Alverta 11 months ago

I think pre-selecting data could lead to bias.

Chaya 11 months ago

Standardizing and cleansing data is a must!

Audry 12 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.

Dong 12 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.

Junita 12 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.

Lajuana 1 year ago

I remember discussing the importance of data cleansing in class, so I think option D might be the best choice.

Douglass 1 year 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.

Terry 1 year 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.

Pura 1 year 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.

Huey 1 year 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.

Rikki 2 years 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?

Vicki 2 years ago

↳ replying to Rikki

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

Sanda 2 years ago

↳ replying to Rikki

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

Lisha 2 years ago

↳ replying to Rikki

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

Kris 2 years ago

↳ replying to Rikki

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

Gail 2 years 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.

Emerson 2 years 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.

Freida 2 years ago

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

Isidra 2 years 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.

Glenn 2 years ago

↳ replying to Isidra

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.

Paris 2 years ago

↳ replying to Isidra

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

Major 2 years ago

↳ replying to Isidra

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

Frederica 2 years ago

↳ replying to Isidra

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

Mohammad 2 years ago

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

Aja 2 years 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?

Gilma 2 years ago

↳ replying to Aja

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

Jesusita 2 years ago

↳ replying to Aja

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

Delsie 2 years ago

↳ replying to Aja

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

Lauran 2 years ago

↳ replying to Aja

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

Gail 2 years ago

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

Isaca CISA Exam - Topic 5 Question 93 Discussion