Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25

- Free Preparation Discussions

APICS CLTD Exam - Topic 3 Question 67 Discussion

Actual exam question for APICS's CLTD exam

Question #: 67
Topic #: 3

[All CLTD Questions]

Under what circumstances should management generally consider utilizing qualitative forecasting techniques?

AWhen real-time data flow is available

BWhen historic data is both clear and relatively stable

CWhen developing strategic-level forecasts

DWhen demand is dependent on bill of material (BOM) calculations

Show Suggested Answer

Suggested Answer: A

by France at Nov 26, 2023, 06:51 AM

Limited Time Offer

25%

Off

Get Premium CLTD Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Vallie

7 months ago

Yeah, stability in historic data is key for effective forecasting.

upvoted 0 times

...

Ben

8 months ago

Surprised that real-time data isn't the best fit for qualitative techniques!

upvoted 0 times

...

Kiley

8 months ago

I think BOM calculations are more suited for quantitative methods.

upvoted 0 times

...

Dominga

8 months ago

Totally agree, especially when historical data isn’t reliable.

upvoted 0 times

...

Aileen

8 months ago

Qualitative forecasting is great for strategic-level forecasts!

upvoted 0 times

...

Jesusita

8 months ago

I’m a bit confused about the BOM calculations part; I thought that was more quantitative. Maybe I need to review that section again.

upvoted 0 times

...

Fanny

9 months ago

I feel like option C makes sense, but I also recall something about using qualitative techniques when data is unclear or unstable.

upvoted 0 times

...

Shaniqua

9 months ago

I remember practicing a question about strategic-level forecasts, and I think that might be when qualitative methods are most useful.

upvoted 0 times

...

Olive

9 months ago

I think qualitative forecasting is more relevant when we don't have a lot of historical data, but I'm not sure if that's what the question is asking.

upvoted 0 times

...

Ivette

9 months ago

Hmm, I feel pretty confident about this one. Qualitative techniques are generally better when you're dealing with uncertain or rapidly changing conditions that make quantitative data less reliable.

upvoted 0 times

...

Anastacia

9 months ago

I'm a bit confused on the differences between strategic-level and operational forecasts. I'll need to review my notes to make sure I understand that distinction.

upvoted 0 times

...

Troy

9 months ago

Okay, let's see. I think the key is to consider when historic data may not be reliable or available. Qualitative methods could be better in those cases.

upvoted 0 times

...

Cora

9 months ago

This seems like a tricky question. I'll need to think carefully about the differences between qualitative and quantitative forecasting techniques.

upvoted 0 times

...

Nichelle

9 months ago

Okay, I think I know how to approach this. Okta is an identity management platform, so it likely has some kind of directory feature. I'll go with A and see if that's correct.

upvoted 0 times

...

Alishia

9 months ago

Hmm, this looks like a straightforward multiple-choice question on the main modules of SAP Master Data Governance. I'll need to recall the key components of this solution.

upvoted 0 times

...

Werner

9 months ago

I'm going to eliminate credit slip right away - that doesn't sound like something used for moving physical inventory.

upvoted 0 times

...

Muriel

1 year ago

Option A, definitely. Nothing says 'management' like throwing a bunch of real-time data at a problem and hoping for the best. Qualitative forecasting is for the faint of heart!

upvoted 0 times

Tiffiny

1 year ago

C) When developing strategic-level forecasts

upvoted 0 times

...

Beckie

1 year ago

B) When historic data is both clear and relatively stable

upvoted 0 times

...

Reed

1 year ago

A) When real-time data flow is available

upvoted 0 times

...

...

Fausto

1 year ago

I hear you all, C is the clear winner. Plus, qualitative forecasting is way more fun than crunching numbers all day. Who needs 'real-time data flow' when you've got a crystal ball, am I right?

upvoted 0 times

Devorah

1 year ago

C) When developing strategic-level forecasts

upvoted 0 times

...

Nicholle

1 year ago

B) When historic data is both clear and relatively stable

upvoted 0 times

...

Lili

1 year ago

C) When developing strategic-level forecasts

upvoted 0 times

...

Isidra

1 year ago

A) When real-time data flow is available

upvoted 0 times

...

...

Linwood

1 year ago

Hmm, option B is tempting, but 'clear and relatively stable' historic data is kind of a unicorn, don't you think? I'm leaning towards C as well.

upvoted 0 times

...

Misty

1 year ago

I'm not sure about option D. Demand dependent on BOM calculations sounds more like a quantitative approach to me. I'd go with C.

upvoted 0 times

...

Louvenia

1 year ago

I believe qualitative forecasting should be used when demand is dependent on bill of material calculations.

upvoted 0 times

...

Brice

1 year ago

I agree with Judy. Qualitative techniques are useful when the historic data is not clear and stable.

upvoted 0 times

...

Dudley

1 year ago

Option C seems like the way to go. Qualitative techniques are great for strategic-level forecasts when you need to consider broader market trends and expert judgments.

upvoted 0 times

Lauryn

1 year ago

Absolutely, they can help management make more informed decisions based on a variety of factors.

upvoted 0 times

...

Ricki

1 year ago

I think it's important to use qualitative techniques when you need to incorporate subjective opinions and expert knowledge.

upvoted 0 times

...

Pilar

1 year ago

Yes, they are especially useful when dealing with uncertain or rapidly changing environments.

upvoted 0 times

...

Tamra

1 year ago

I agree, qualitative techniques can provide valuable insights for long-term planning.

upvoted 0 times

...

...

Judy

1 year ago

I think management should consider qualitative forecasting techniques when developing strategic-level forecasts.

upvoted 0 times

...