DA0-001 · Question #290
A marketing analytics team received customer transaction data from two different sources. The data is complete and accurate; however, the field names appear to be inconsistent. Given the following…
The correct answer is A. Standardize the field names. When consolidating data from different sources, it is crucial to standardize field names to ensure consistency across datasets. This process involves aligning the field names so that they are the same in both tables, which simplifies the merging of data and subsequent analysis…
Question
A marketing analytics team received customer transaction data from two different sources. The data is complete and accurate; however, the field names appear to be inconsistent. Given the following tables:
Which of the following is considered best practice if the team wants to consolidate the files and conduct further analysis?
Exhibit
Options
- AStandardize the field names.
- BRecode the data values.
- COverwrite the field names in one of the tables.
- DEdit the field names in the data dictionary.
How the community answered
(42 responses)- A88% (37)
- B2% (1)
- C7% (3)
- D2% (1)
Explanation
When consolidating data from different sources, it is crucial to standardize field names to ensure consistency across datasets. This process involves aligning the field names so that they are the same in both tables, which simplifies the merging of data and subsequent analysis. Standardizing field names helps in maintaining data integrity and avoids confusion that may arise from having different names for the same data point.
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