What is data validation?

< 1 min read

Data validation is the process of checking whether data is accurate, complete, and follows business rules. In my projects, I used validation rules to ensure dates, ranges, and mandatory fields were correctly entered. For example, I validated that sales values were not negative and order dates were within the reporting period. It helped reduce errors before analysis and reporting. A challenge was handling inconsistent source system data. Validation can sometimes block valid edge cases. As an alternative, I flagged exceptions instead of rejecting records. This improved data quality and stakeholder trust in reports.

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