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The ______development lifecycle is the best approach to follow for Reference & Master Data efforts.
Suggested Answer: D
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The data-centric development lifecycle is best suited for Reference & Master Data efforts because it prioritizes data integrity, quality, and governance throughout the entire development process. This approach ensures that reference and master data are consistently managed, maintained, and leveraged across various systems and applications.
DMBOK (Data Management Body of Knowledge), 2nd Edition, Chapter 11: Reference & Master Data Management.
DAMA International Guide to the Data Management Body of Knowledge (DAMA-DMBOK Guide), 2nd Edition.
26 comments · newest first
DA
Daryl
10 months ago
Wait, is Data-centric really the best? I have my doubts.
AN
Angella
10 months ago
Project lifecycle seems too rigid for data management.
LA
Lachelle
10 months ago
Definitely agree, Agile allows for flexibility.
AL
Aleshia
11 months ago
I think Agile is the way to go for data projects!
CE
Celestina
11 months ago
System development lifecycle has its merits too, though!
FR
Frederica
11 months ago
I’m not confident, but I think Project lifecycle was mentioned in relation to Reference Data. I should have reviewed that section more thoroughly.
DA
Dante
11 months ago
I’m leaning towards System development lifecycle, but I recall some examples that highlighted Agile for data projects. It’s tough to decide!
NG
Ngoc
12 months ago
I remember discussing the importance of a data-centric approach in class. It feels like it could be the right answer, but I’m a bit confused about how it compares to Agile.
GE
Georgene
12 months ago
I think it might be Agile, but I’m not entirely sure. We did a practice question on development lifecycles, and Agile seemed to fit well with iterative processes.
NI
Nilsa
12 months ago
The Project lifecycle could work, but I'm not sure it fully captures the ongoing nature of reference and master data management. I may need to re-read the question.
BR
Brendan
1 year ago
I'm leaning towards the Data-centric option. That seems like it would provide the right framework for governing and managing reference and master data effectively.
AL
Alyce
1 year ago
The System development lifecycle is probably the most traditional approach, but I'm not sure if that's the best fit here. I'll have to think it through.
IR
Iraida
1 year ago
I'm a little unsure about this one. The Agile approach could also work well for reference and master data efforts, but I'm not totally confident.
TR
Trevor
1 year ago
I think the Data-centric approach makes the most sense for managing reference and master data. It's focused on the data itself rather than the system or project.
JE
Jerry
1 year ago
Project lifecycle? That's like trying to herd cats. I'd rather go with the Agile approach and let the data sort itself out.
LE
Leonard
1 year ago
Wait, there's a software lifecycle specifically for data? Mind. Blown. I'm going with D, Data-centric.
JA
Jacquline
1 year ago
Agile all the way! It's flexible and adaptable, perfect for managing reference and master data projects.
LU
Luisa
9 months ago
Exactly! Flexibility is key in data projects.
ME
Melvin
9 months ago
Plus, it encourages collaboration!
PA
Paris
10 months ago
I agree, it allows for quick adjustments.
LU
Lucia
10 months ago
Agile is definitely the way to go!
MA
Makeda
1 year ago
I prefer Agile development lifecycle.
KA
Karma
1 year ago
I think the Data-centric approach is the way to go. It just makes sense for reference and master data efforts.
VO
Vonda
1 year ago
I think the Agile approach could also work well for managing reference and master data.
TA
Tammara
1 year ago
I agree, the Data-centric approach is definitely the best for reference and master data efforts.
OL
Oliva
1 year ago
I think the best approach is Data-centric.