This scenario illustrates a data quality issue related to data accuracy and consistency. In the DAMA framework, one of the key dimensions of data quality is accuracy, which refers to whether data correctly describes the "real-world" object or event it represents.
Even if a value is syntactically valid (e.g., a properly formatted date), it can still be semantically incorrect. In this case, pulling data from multiple sources without proper mapping or validation can lead to misplaced attributes, such as a marriage date being stored or interpreted as a birth date.
This type of issue typically occurs during data integration or ETL (Extract, Transform, Load) processes, especially in Master Data Management (MDM), where data conflicts between systems of record and reference need to be resolved carefully.
upvoted 1 times
...
This section is not available anymore. Please use the main Exam Page.DMF Exam Questions
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
GenoKiller777_
1 week, 5 days ago