MENU
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?
Suggested Answer: A
Get Premium CFE-Investigation Questions
as Interactive Web-Based Practice Test or PDF
Real Exam Format
Detailed Explanations
Instant Access
Get Your Practice Test
40 comments · newest first
SA
Sabra
12 months ago
Totally agree with D, you gotta know what you're working with!
RO
Rosina
12 months ago
Wait, can you really just build a profile without knowing the data first?
AD
Adelle
12 months ago
Definitely need to cleanse the data first, C is key!
TE
Tegan
1 year ago
I think A is more effective for spotting patterns.
IS
Isidra
1 year ago
Step D is crucial to start with!
LO
Louann
1 year ago
I lean towards monitoring the data as a first step, but I guess it depends on what data we have to begin with.
AN
Annalee
1 year ago
I practiced a similar question where building a profile was emphasized, but I feel like identifying relevant data might be more foundational.
GR
Grover
1 year ago
I'm not entirely sure, but I remember something about cleansing data being crucial. Maybe that should come first?
ST
Staci
1 year ago
I think the first step should be to identify the relevant data. Without knowing what data to analyze, how can we proceed effectively?
SE
Serina
1 year 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.
PA
Paola
1 year 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.
BE
Ben
1 year 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.
KA
Kayleigh
1 year ago
C) Cleanse and normalize the data.
SE
Sena
1 year ago
B) Monitor the data.
GE
Gearldine
1 year ago
A) Build a profile of potential frauds.
CH
Chanel
1 year 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.
TA
Talia
1 year ago
C) Cleanse and normalize the data.
AI
Aide
1 year ago
B) Monitor the data.
IS
Isabelle
1 year ago
A) Build a profile of potential frauds.
DE
Deane
1 year 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.
CO
Cordelia
1 year ago
User 3: It makes sense to prioritize identifying the relevant data first.
SE
Serina
1 year ago
User 2: Definitely, focusing on the important data will make the analysis more effective.
EL
Elza
1 year ago
User 1: I agree, identifying the relevant data is crucial.
VI
Viva
2 years 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.
OR
Ora
1 year ago
It's important to follow the steps in order to ensure the success of the data analysis program.
PA
Paris
1 year ago
Monitoring the data will be much more effective after we identify the relevant data.
CE
Ceola
1 year ago
Once the data is clean, we can start building a profile of potential frauds.
BO
Bobbie
1 year ago
I agree, cleansing and normalizing the data is crucial for accurate analysis.
ME
Merilyn
1 year ago
It's all about setting a strong foundation for the analysis process.
LE
Leigha
1 year ago
Monitoring the data comes after we have identified the relevant data.
NA
Nadine
1 year ago
Once the data is clean, we can then build a profile of potential frauds.
AL
Alaine
1 year ago
I agree, cleansing and normalizing the data is crucial for accurate analysis.
DA
Danilo
2 years ago
But shouldn't Talia also cleanse and normalize the data to ensure accuracy?
BO
Boris
2 years 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.
KE
Kenda
1 year ago
Building a profile of potential frauds will help us understand patterns and trends to look out for.
NI
Nickie
1 year ago
Monitoring the data will help us track any suspicious activity in real-time.
CL
Clorinda
1 year ago
Once the data is clean, we can then identify the relevant data to focus on.
DO
Dorinda
2 years ago
I agree, cleaning and normalizing the data is definitely the first step.
MA
Marsha
2 years ago
I agree with Joni. Without the relevant data, the analysis won't be effective.
JO
Joni
2 years ago
I think Talia should first identify the relevant data.