Which of the given scenarios is the BEST time for verifying data consistency to reduce errors in future reporting?
While archiving records
When source data is brought into the environment
As analytical outputs are published
Before advanced transformations after updates
Verifying data consistency when it is first brought into the environment helps address mismatched formats, missing records, and other irregularities early. Checks performed during later stages, such as after analytics or while archiving, can uncover issues at a point where many transformations have already occurred, raising the potential for repeated tasks and overlooked problems. Pre-transformation checks can help, but earlier identification of data quality issues supports more stable outcomes.
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