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Dama CDMP-RMD Exam - Topic 4 Question 23 Discussion

Actual exam question for Dama's CDMP-RMD exam
Question #: 23
Topic #: 4
[All CDMP-RMD Questions]

Why would a company not develop Master Data?

Show Suggested Answer Hide Answer
Suggested Answer: A

The format and allowable ranges of Master Data values are primarily dictated by business rules.

Business Rules:

Business rules define the constraints, formats, and permissible values for master data based on the organization's operational and regulatory requirements.

These rules ensure that data conforms to the standards and requirements necessary for effective business operations.

Semantic Rules:

These rules pertain to the meaning and context of the data but do not directly dictate formats and ranges.

Processing Rules:

These rules focus on how data is processed but not on the allowable values or formats.

Engagement Rules:

These rules govern interactions and workflows rather than data formats and ranges.

Database Limitations:

While database limitations can impose constraints, they are typically secondary to the business rules that drive data requirements.


DAMA-DMBOK (Data Management Body of Knowledge) Framework

CDMP (Certified Data Management Professional) Exam Study Materials

by Dalene at Feb 06, 2025, 01:22 PM

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Zena
5 months ago
All of these reasons make sense to me!
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Rodolfo
5 months ago
The disruption factor is huge, can't deny that.
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Irma
5 months ago
Really? I thought data quality was always a priority.
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Jesusa
6 months ago
Totally agree, commitment is key!
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Alaine
6 months ago
Companies often underestimate the value of integrated data.
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Gail
6 months ago
The process being too disruptive sounds familiar, but I wonder if that really outweighs the benefits of having Master Data.
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Bok
6 months ago
I practiced a question similar to this, and I think "All of these are correct" might be the best choice since they all seem plausible.
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Luther
6 months ago
I think lack of commitment could definitely be a factor, but it feels like there could be more to it.
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Elke
6 months ago
I remember discussing how companies might not see the value in integrating their data, but I'm not sure if that's the only reason.
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Pete
6 months ago
Ah, this is a good one. I think the key here is to identify the most comprehensive answer that covers the main reasons a company might not develop master data. I'm leaning towards option C, but I'll double-check the other options just to be sure.
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Nada
6 months ago
This is a tricky one. There are a few different factors that could lead a company to not develop master data, like failing to see the value, lacking commitment, or prioritizing other things over data quality. I'll need to really analyze each option to determine the best answer.
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Rose
6 months ago
Okay, let's see here. The key is to identify the main reasons a company might not develop master data. I'm thinking it could be due to a lack of perceived value, commitment issues, or concerns about the disruption it might cause. I'll need to weigh the options carefully.
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Justine
6 months ago
Hmm, I'm a bit unsure about this one. The options seem to cover a range of potential reasons, but I'm not sure which one is the most complete or accurate answer. I'll need to re-read the question and think it through step-by-step.
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Ronald
7 months ago
This seems like a straightforward question about why a company might not develop master data. I'll need to think through the options carefully, but I'm confident I can identify the best answer.
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Brett
12 months ago
This question is a bit of a master data mess, if you ask me. The real answer is probably 'All of the above, and then some.'
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Cecily
10 months ago
C) All of these are correct
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Leontine
11 months ago
B) Lack of commitment
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Carissa
11 months ago
A) Fail to see value in integrating their data
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Evan
12 months ago
E. Data Quality is not a priority? More like 'Data? What data?' in some companies. Master data? I thought we were just winging it over here!
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Scarlet
10 months ago
D) The process is too disruptive
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Roy
11 months ago
B) Lack of commitment
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Flo
11 months ago
A) Fail to see value in integrating their data
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Brynn
1 year ago
I think C is the correct answer. If a company can't see the value, is unwilling to commit, and doesn't care about data quality, then master data is a no-go.
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Daniela
11 months ago
C) All of these are correct
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Kanisha
11 months ago
B) Lack of commitment
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Berry
11 months ago
A) Fail to see value in integrating their data
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Leana
1 year ago
Lack of commitment? More like lack of budget, am I right? Good luck convincing the CFO that master data is a priority.
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Levi
1 year ago
I believe all of these reasons are correct. The process might be too disruptive and data quality may not be a priority for some companies.
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Pearlene
1 year ago
A and D seem like the most likely reasons. Who wants to deal with disrupting the entire organization just to improve data quality? Yikes!
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Kimberlie
12 months ago
E) Data Quality is not a priority.
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Laurel
12 months ago
A) Fail to see value in integrating their data
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Carey
1 year ago
I agree with Tresa. Lack of commitment could also be a reason for not developing Master Data.
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Tresa
1 year ago
I think a company might not develop Master Data because they fail to see value in integrating their data.
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