Validate before parsing
Date problems often appear when files come from several systems. One sends YYYY-MM-DD, another sends DD/MM/YYYY, and someone exports from Excel with regional settings nobody remembers choosing.
In Advanced ETL Processor, date validation can check the expected pattern before transformation. The process can reject invalid rows, convert accepted values, and keep a clear audit trail.
What date validation should catch
- Impossible dates such as 31/02/2026.
- Ambiguous formats across regions.
- Text values such as
N/A,TBC, orunknown. - Missing dates where the downstream system requires a value.
When a simple cleanup is enough
If the file is small and used once, manual cleanup in Excel may be faster. If the file arrives repeatedly, build the date rule once and let the workflow do the boring work. Boring work is exactly what automation was born to do.
Useful references
See Convert Excel Dates, The Three Types of Data Validation, and Microsoft's notes on date formatting.