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Dama Exam CDMP-RMD 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

Contribute your Thoughts:

Brett
2 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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Leontine
14 days ago
B) Lack of commitment
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Carissa
1 months ago
A) Fail to see value in integrating their data
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Evan
2 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
5 days ago
D) The process is too disruptive
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Roy
12 days ago
B) Lack of commitment
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Flo
23 days ago
A) Fail to see value in integrating their data
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Brynn
2 months 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
9 days ago
C) All of these are correct
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Kanisha
18 days ago
B) Lack of commitment
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Berry
1 months ago
A) Fail to see value in integrating their data
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Leana
2 months 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
2 months 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
2 months 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
1 months ago
E) Data Quality is not a priority.
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Laurel
2 months ago
A) Fail to see value in integrating their data
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Carey
2 months ago
I agree with Tresa. Lack of commitment could also be a reason for not developing Master Data.
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Tresa
2 months ago
I think a company might not develop Master Data because they fail to see value in integrating their data.
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