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ACFE Exam CFE-Investigation Topic 3 Question 65 Discussion

Actual exam question for ACFE's CFE-Investigation exam
Question #: 65
Topic #: 3
[All CFE-Investigation Questions]

Talia has been hired by SBS Inc. to implement a new data analysis program to search for warning signs of potential fraud within the company. Which of the following steps should Talia conduct first to MOST EFFECTIVELY use data analysis techniques for such an initiative?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

Ben
1 months ago
Lol, I bet Talia wishes she had a crystal ball to see the future and predict fraud! But for real, I think C is the way to go. Clean data is the key to unlocking all the juicy insights.
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Kayleigh
2 days ago
C) Cleanse and normalize the data.
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Sena
4 days ago
B) Monitor the data.
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Gearldine
11 days ago
A) Build a profile of potential frauds.
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Chanel
2 months ago
Haha, this is easy! The answer is clearly C. You can't just go in and start building a profile of potential frauds, that's like trying to catch a thief without knowing what they stole.
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Talia
16 days ago
C) Cleanse and normalize the data.
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Aide
17 days ago
B) Monitor the data.
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Isabelle
1 months ago
A) Build a profile of potential frauds.
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Deane
2 months ago
I'm going with D. Identifying the relevant data is the first step, right? I mean, you can't analyze everything, you gotta focus on the important stuff.
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Cordelia
7 days ago
User 3: It makes sense to prioritize identifying the relevant data first.
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Serina
25 days ago
User 2: Definitely, focusing on the important data will make the analysis more effective.
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Elza
1 months ago
User 1: I agree, identifying the relevant data is crucial.
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Viva
2 months ago
Definitely C. You can't just start monitoring the data without first making sure it's clean and organized. That's the foundation for any good data analysis project.
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Paris
5 hours ago
Monitoring the data will be much more effective after we identify the relevant data.
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Ceola
11 days ago
Once the data is clean, we can start building a profile of potential frauds.
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Bobbie
15 days ago
I agree, cleansing and normalizing the data is crucial for accurate analysis.
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Merilyn
24 days ago
It's all about setting a strong foundation for the analysis process.
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Leigha
1 months ago
Monitoring the data comes after we have identified the relevant data.
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Nadine
1 months ago
Once the data is clean, we can then build a profile of potential frauds.
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Alaine
2 months ago
I agree, cleansing and normalizing the data is crucial for accurate analysis.
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Danilo
2 months ago
But shouldn't Talia also cleanse and normalize the data to ensure accuracy?
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Boris
2 months ago
Hmm, I think the answer is C. Cleansing and normalizing the data is crucial before you can even start analyzing it for potential fraud.
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Kenda
21 days ago
Building a profile of potential frauds will help us understand patterns and trends to look out for.
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Nickie
23 days ago
Monitoring the data will help us track any suspicious activity in real-time.
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Clorinda
1 months ago
Once the data is clean, we can then identify the relevant data to focus on.
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Dorinda
2 months ago
I agree, cleaning and normalizing the data is definitely the first step.
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Marsha
3 months ago
I agree with Joni. Without the relevant data, the analysis won't be effective.
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Joni
3 months ago
I think Talia should first identify the relevant data.
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