Question 66

Documentation is essential for informing users of changes made during data cleansing.

To effectively communicate the modifications made to a data set during the cleansing process, the analyst should prioritize documentation. This ensures that all users are aware of the changes and understand the impact on the data's integrity and usability.

A) Data manipulation

Data manipulation involves changing the data itself, which does not inherently inform users about the changes made. While it is a necessary step in the data cleansing process, it does not provide the transparency or communication needed to inform others about what modifications have occurred.

B) Automate cleansing

Automating the cleansing process focuses on increasing efficiency and reducing manual effort. However, this action does not address the need to inform users about the changes made to the data set. Automation alone does not provide the necessary context or documentation for understanding the modifications.

C) Verification

Verification is the process of ensuring that the data is accurate and meets required standards after cleansing. While it is important for maintaining data quality, it does not serve the purpose of informing other users of the changes made, which is the primary goal in this context.

D) Documentation

Documentation is the most effective way for the analyst to communicate the changes made during the data cleansing process. It provides a clear record of what modifications were made, why they were necessary, and how they affect the data set, thus ensuring all users are informed and can trust the data.

Conclusion

Documentation is crucial for transparency in data management, especially after cleansing, as it informs users of the changes made and their implications. While options A, B, and C are relevant to the data cleansing process, they do not fulfill the specific requirement to communicate changes effectively. Therefore, documentation stands out as the definitive action the analyst should take.