The information produced by a system is only as good as the quality of the data that is input.
Errors in data can have far-reaching effects.
Errors can occur when data is:
Errors can be reduced in a variety of ways, including:
- Using automatic data capture methods such as OCR or OMR that remove the need for transcription
- Verification checks
- Validation checks such as presence check, range check, type check, format check, cross-field check, look-up list and check digit
- Thorough analysis and specification that takes into account all possible circumstances
- Thorough testing
Data that is valid may not be accurate or correct.