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5. Data quality
In the field of feedback, perhaps more than in other areas, data quality is paramount, as it has a direct impact on the reliability of results and the interpretation of feedback.
Unreliable data means unreliable results, and the inevitable disappearance of the feedback database.
Obtaining validated quality data requires the implementation of a process that will determine the accuracy and relevance of feedback data for a specific purpose.
Carried out at the analysis level, this process makes it possible to obtain validated data for this purpose from raw data.
5.1 Quality factors
The quality of feedback data comes into play at two levels...
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Data quality
Analysis
Bibliography
Standardization
- Failure reporting, analysis and corrective action system (FRACAS) - MIL-STD-2155 - 07-85
- Reliability prediction of electronic equipment - MIL-HDBK-217F (+notices 1,2) - 12-91
- Dependability management – Part 3: Application guide – Section 2: Collection of safety data under operating conditions (2nd edition in preparation) - CEI 60300-3-2 - 10-93
- Equipment reliability testing – Part 6: Tests for...
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