Concept · Technical basics

Data integrity

Also called: data quality, data accuracy, clean data

Whether data stays accurate, complete and consistent over time. AI tools and reports are only as reliable as the data they read.

For example: An AI assistant keeps giving the wrong office hours because three different hours are stored in the system. That is a data integrity problem.

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