Data quality control

Data quality control

Data quality control is the process of controlling the usage of data with known quality measurement—for an application or a process. This process is usually done after a Data quality assurance process, which consists of discovery of data inconsistency and correction.

Data QA (Quality Assurance) process provides following information to Data QC (Quality Control):

  • Severity of inconsistency
  • Incompleteness
  • Accuracy
  • Precision
  • Missing / Unknown

The Data QC process uses the information from the QA process, then it decides to use the data for analysis or in an application or business process. For example, if a Data QC process finds the data contains too much error or inconsistency, it rejects the data to be processed. The usage of incorrect data could crucially impact output. For example, providing invalid measurements from several sensors to the automatic pilot feature on an aircraft could cause it to crash. Thus, establishing data QC process provides the protection of usage of data control and establishes safe information usage.


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