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Management at Oak Company has asked Arthur, an internal auditor, to implement a data analysis program to search for warning signs of potential fraud within the company. Which of the following steps should Arthur conduct first to MOST effectively use data analysis techniques for such an initiative?
Suggested Answer: A
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32 comments · newest first
SH
Sherron
11 months ago
Cleansing and normalizing data helps in accurate analysis later on.
MA
Maia
11 months ago
Building a profile of frauds seems like a solid next step too.
JE
Jeannine
11 months ago
Wait, why would you cleanse data before knowing if it's complete?
HU
Huey
12 months ago
Definitely agree! You can't analyze what you don't have.
GI
Gilma
12 months ago
I think obtaining the data first is crucial.
AD
Adolph
12 months ago
I guess it could be a mix of steps, but I lean towards cleansing the data first. It seems like a necessary foundation for effective analysis.
EM
Emiko
1 year ago
Building a profile of potential frauds sounds important too, but I feel like that comes after you have the data in hand.
CH
Charlene
1 year ago
I'm not so sure. I remember a practice question where cleansing and normalizing the data was emphasized as crucial before any analysis.
RI
Rikki
1 year ago
I think the first step should be obtaining the data. Without the right data, how can you analyze anything?
AL
Alex
1 year ago
I'm a little confused. Wouldn't analyzing the data be the most effective first step? That's what the question is asking about, so I'm leaning towards option A.
WI
Willie
1 year ago
Okay, I've got this. The question is asking about the first step, so I'm going to go with option B and cleanse and normalize the data. That's crucial before you can really analyze anything.
MI
Michell
1 year ago
Hmm, I'm a bit unsure here. Should I focus on cleansing and normalizing the data first, or building a profile of potential frauds? I'll have to think this through carefully.
AR
Arletta
1 year ago
This seems straightforward - I think the first step would be to obtain the data, so I'll go with option D.
TR
Tresa
2 years ago
Forget the data, let's just go with our gut instinct! I bet Ciara can smell a fraud a mile away.
SH
Shalon
1 year ago
D) Obtain the data.
KA
Kati
1 year ago
C) Build a profile of potential frauds.
CO
Cordelia
1 year ago
B) Cleanse and normalize the data
CO
Coral
1 year ago
A) Analyze the data.
TE
Teri
2 years ago
Hmm, I'm not so sure. Analyzing the data first might give us a better sense of what we're dealing with, you know?
YO
Youlanda
2 years ago
But wouldn't building a profile of potential frauds help in identifying the right data to analyze?
RA
Raymon
2 years ago
Building a profile of potential frauds sounds like a great idea! That'll help us target our search more effectively.
FR
Freeman
1 year ago
C) Build a profile of potential frauds.
TA
Tambra
1 year ago
B) Cleanse and normalize the data
ES
Estrella
1 year ago
A) Analyze the data.
MA
Maryrose
2 years ago
I think cleansing and normalizing the data is the way to go. Gotta make sure the data is clean and consistent, you know?
TA
Tasia
1 year ago
D) Obtain the data.
SH
Sheridan
1 year ago
C) Build a profile of potential frauds.
BE
Beata
1 year ago
B) Cleanse and normalize the data
HO
Honey
1 year ago
A) Analyze the data.
CI
Ciara
2 years ago
Obviously, I need to obtain the data first before I can analyze or do anything else. This is a no-brainer!
BR
Brice
2 years ago
I agree with Nidia. Cleansing and normalizing the data is crucial for accurate analysis.
NI
Nidia
2 years ago
I think Arthur should cleanse and normalize the data first.