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ACFE CFE-Investigation Exam - 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?

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Suggested Answer: A

by Kayleigh at Feb 26, 2023, 06:52 PM

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Sabra
5 months ago
Totally agree with D, you gotta know what you're working with!
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Rosina
6 months ago
Wait, can you really just build a profile without knowing the data first?
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Adelle
6 months ago
Definitely need to cleanse the data first, C is key!
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Tegan
6 months ago
I think A is more effective for spotting patterns.
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Isidra
6 months ago
Step D is crucial to start with!
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Louann
6 months ago
I lean towards monitoring the data as a first step, but I guess it depends on what data we have to begin with.
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Annalee
6 months ago
I practiced a similar question where building a profile was emphasized, but I feel like identifying relevant data might be more foundational.
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Grover
6 months ago
I'm not entirely sure, but I remember something about cleansing data being crucial. Maybe that should come first?
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Staci
7 months ago
I think the first step should be to identify the relevant data. Without knowing what data to analyze, how can we proceed effectively?
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Serina
7 months ago
Hmm, this looks like a pretty straightforward control chart question. I'll need to think about the data characteristics and what type of chart would be most appropriate.
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Paola
7 months ago
I'm a bit confused by this question. The options all sound like they could be relevant, but I'm not sure which one is the best answer. I'll have to try to eliminate the less likely choices and then make an educated guess.
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Ben
11 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
10 months ago
C) Cleanse and normalize the data.
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Sena
10 months ago
B) Monitor the data.
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Gearldine
10 months ago
A) Build a profile of potential frauds.
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Chanel
12 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
11 months ago
C) Cleanse and normalize the data.
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Aide
11 months ago
B) Monitor the data.
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Isabelle
11 months ago
A) Build a profile of potential frauds.
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Deane
12 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
10 months ago
User 3: It makes sense to prioritize identifying the relevant data first.
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Serina
11 months ago
User 2: Definitely, focusing on the important data will make the analysis more effective.
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Elza
11 months ago
User 1: I agree, identifying the relevant data is crucial.
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Viva
1 year 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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Ora
10 months ago
It's important to follow the steps in order to ensure the success of the data analysis program.
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Paris
10 months ago
Monitoring the data will be much more effective after we identify the relevant data.
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Ceola
10 months ago
Once the data is clean, we can start building a profile of potential frauds.
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Bobbie
11 months ago
I agree, cleansing and normalizing the data is crucial for accurate analysis.
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Merilyn
11 months ago
It's all about setting a strong foundation for the analysis process.
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Leigha
11 months ago
Monitoring the data comes after we have identified the relevant data.
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Nadine
11 months ago
Once the data is clean, we can then build a profile of potential frauds.
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Alaine
12 months ago
I agree, cleansing and normalizing the data is crucial for accurate analysis.
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Danilo
1 year ago
But shouldn't Talia also cleanse and normalize the data to ensure accuracy?
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Boris
1 year 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
11 months ago
Building a profile of potential frauds will help us understand patterns and trends to look out for.
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Nickie
11 months ago
Monitoring the data will help us track any suspicious activity in real-time.
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Clorinda
11 months ago
Once the data is clean, we can then identify the relevant data to focus on.
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Dorinda
1 year ago
I agree, cleaning and normalizing the data is definitely the first step.
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Marsha
1 year ago
I agree with Joni. Without the relevant data, the analysis won't be effective.
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Joni
1 year ago
I think Talia should first identify the relevant data.
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