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Data Quality (DQ) is a niche area required for the integrity of the data management by covering gaps of data issues. This is one of the key functions that aid data governance by monitoring data to find exceptions undiscovered by current data management operations.
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.
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.
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.
A data quality firewall provides real time feedback information about the quality of the data submitted to the system. The main goal of a data quality process consists in capturing erroneous and invalid data, processing them and eliminating duplicates and, lastly, exporting valid data to the user without failing to store a back-up copy into the ...
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]
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