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IIBA CBDA Exam - Topic 1 Question 24 Discussion

Actual exam question for IIBA's CBDA exam
Question #: 24
Topic #: 1
[All CBDA Questions]

An analyst supporting the Marketing department for a specialty retailer has been asked to look through past sales data to help guide product decisions. The business sponsor for this initiative would first like to know 'What is the most profitable product line?'. What type of analytics is the analyst going to perform to address this question?

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Suggested Answer: C

by Elli at Sep 18, 2024, 08:30 AM

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Keith
4 months ago
Descriptive makes sense, but I wonder if they’ll miss trends in the data.
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Eun
4 months ago
Wait, so they’re not predicting future sales? That’s surprising!
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Elliott
4 months ago
I thought it might be diagnostic since they want to know profitability?
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Yvonne
4 months ago
Agreed, it’s all about summarizing the data.
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Jovita
5 months ago
Definitely descriptive analytics! Just looking at past sales.
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Junita
5 months ago
I feel like prescriptive analytics might come into play later, but for this specific question, it seems like descriptive is the right choice.
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Lorita
5 months ago
This reminds me of a practice question where we had to identify the most profitable product line too. I think it was also descriptive analytics then.
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Alexis
5 months ago
I'm not entirely sure, but I remember something about diagnostic analytics being used to find reasons behind trends.
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Barney
5 months ago
I think this question is about descriptive analytics since it focuses on summarizing past sales data.
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Helga
5 months ago
Descriptive analytics, got it. I'll need to pull the relevant data, calculate some key metrics like revenue and profit per product line, and then identify the most profitable one. Shouldn't be too tricky as long as I have the right data.
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Madelyn
5 months ago
Okay, I've got this. Descriptive analytics is exactly what I need to find the most profitable product line. I'll aggregate the sales and profit data, calculate the profit margins, and the product line with the highest margin is the winner.
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Catalina
5 months ago
Hmm, I'm not totally sure about this one. Is descriptive analytics the right approach, or should I be looking at something more predictive? I'll need to review the different types of analytics to make sure I'm on the right track.
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Roslyn
6 months ago
This seems like a straightforward descriptive analytics question. I'll need to pull the sales and profit data by product line, then identify the most profitable one.
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Salina
6 months ago
Hmm, this question seems to be testing my understanding of the differences between walkthroughs and inspections. I'll need to think carefully about the key characteristics of each approach.
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Krissy
1 year ago
Haha, I bet the 'most profitable product line' is the one that sells the most fidget spinners. Just a wild guess.
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Vince
1 year ago
A: That's right, it will help answer questions like 'What is the most profitable product line?'
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Nidia
1 year ago
B: Yeah, descriptive analytics summarizes past sales data to provide an overview of what has happened.
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Kimberlie
1 year ago
A: I think the analyst will perform descriptive analytics to find out the most profitable product line.
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Zona
1 year ago
So, the analyst will use descriptive analytics to determine the most profitable product line based on past sales data.
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Wenona
1 year ago
Yes, I agree. Descriptive analytics summarizes and presents data in a meaningful way.
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Josphine
2 years ago
Yep, I agree. Descriptive analytics is the way to go. Gotta look at that past sales data to see which product line is bringing in the big bucks.
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Dottie
2 years ago
Descriptive analytics - that's the one that looks at what's already happened, right? Seems like the obvious choice here to find the most profitable product line.
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Janey
1 year ago
B: So, the analyst will use descriptive analytics to determine the most profitable product line based on past sales data.
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Filiberto
2 years ago
A: Yes, descriptive analytics summarizes past data to provide an overview of what has happened.
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Valentine
2 years ago
I think the analyst will perform descriptive analytics.
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