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Data quality assurance is the process of data profiling to discover inconsistencies and other anomalies in the data, as well as performing data cleansing [17] [18] activities (e.g. removing outliers, missing data interpolation) to improve the data quality.
The Information Quality Act (IQA) or Data Quality Act (DQA), passed through the United States Congress in Section 515 of the Consolidated Appropriations Act, 2001 (Pub. L. 106–554 (text)). Because the Act was a two-sentence rider in a spending bill , it had no name given in the actual legislation.
See also: category:Data security (data loss prevention is in fact an assurance of data quality) Subcategories This category has the following 2 subcategories, out of 2 total.
The Data Quality Campaign was founded in 2005, by Aimee Guidera and 10 founding partners as a national collaborative effort to encourage states to improve the collection and use of high-quality education data, and implement state longitudinal data systems to measure student achievement.
An example of a data-integrity mechanism is the parent-and-child relationship of related records. If a parent record owns one or more related child records all of the referential integrity processes are handled by the database itself, which automatically ensures the accuracy and integrity of the data so that no child record can exist without a parent (also called being orphaned) and that no ...
The result is a new cycle in the data-cleansing process where the data is audited again to allow the specification of an additional workflow to further cleanse the data by automatic processing. Good quality source data has to do with “Data Quality Culture” and must be initiated at the top of the organization.
ISO 8000 is the international standard for Data Quality and Enterprise Master Data.Widely adopted internationally [1] [2] [3] it describes the features and defines the requirements for standard exchange of Master Data among business partners.
Enterprise Data and Business Intelligence Conference Europe [12] Commercial conferences held annually in London, England. Information and Data Quality Conference [13] Not for profit conference run annually by IQ International (the International Association for Information and Data Quality) in the USA [14]