Maintaining your original data set provides you with which benefit?

Maintaining your original data set allows you to revert to it after making changes or transformations, which can be particularly beneficial if any mistakes are made during data processing or analysis. This safety net helps ensure that you do not lose valuable information or insights and allows you to experiment with different analysis techniques without the fear of losing the foundational data. If any errors are identified in the processed data, having access to the original set means you can start over or adjust your analyses without needing to recreate the original data from scratch.

In contrast, other choices do not align with the benefits derived from preserving the original data. Creating new data from scratch may lead to inconsistencies and lack of reliability, while quickly deleting all data does not support thorough analysis or accountability. Furthermore, avoiding the use of analytics is not a benefit; rather, it detracts from the purpose of data analysis, which is to extract insights and make informed decisions based on the data.