Data integrity and Quality assurance

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Data integrity and Quality assurance

Data integrity vs. Quality assurance

Data integrity is the maintenance of, and the assurance of the accuracy and consistency of, data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data. Quality assurance (QA) is a way of preventing mistakes and defects in manufactured products and avoiding problems when delivering solutions or services to customers; which ISO 9000 defines as "part of quality management focused on providing confidence that quality requirements will be fulfilled".

Similarities between Data integrity and Quality assurance

Data integrity and Quality assurance have 1 thing in common (in Unionpedia): Data quality.

Data quality

Data quality refers to the condition of a set of values of qualitative or quantitative variables.

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The list above answers the following questions

What Data integrity and Quality assurance have in common
What are the similarities between Data integrity and Quality assurance

Data integrity and Quality assurance Comparison

Data integrity has 58 relations, while Quality assurance has 86. As they have in common 1, the Jaccard index is 0.69% = 1 / (58 + 86).

References

This article shows the relationship between Data integrity and Quality assurance. To access each article from which the information was extracted, please visit:

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