<p class="isSelectedEnd">Data migration is often more than just moving files from one system to another. Checking data consistency, duplicate records, missing values, formatting, and historical accuracy is important before the information is used for reporting or analysis.

<p class="isSelectedEnd">The same principles apply when working with larger datasets. Data Science with Python can be useful for cleaning, validating, transforming, and analyzing structured data, especially when manual spreadsheet processing becomes difficult.

A clear validation step after migration is just as important as the actual conversion process.