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Glossary

Data Quality

Data quality is how complete, accurate, current, and consistent an organization’s data is. No AI system can compensate for weak underlying data.

Also called کیفیت داده

Common dimensions of measurement: **completeness** (what share of records have the required fields), **accuracy** (whether the values are correct), **freshness** (when the last update was), **consistency** (whether one entity is recorded the same way across systems), and **uniqueness** (whether duplicate records exist).

Persian has a specific issue: the difference between Arabic and Persian characters (ی/ي and ک/ك), the zero-width non-joiner, and Persian versus Latin digits can turn one value into several different strings. In practice that causes lost or double-counted records, and it must be normalized at data entry.

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Where do we start?
Data Quality · DIDRAH