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Data quality control is the process of controlling the usage of data for an application or a process. This process is performed both before and after a Data Quality ...
"Information quality" is a measure of the value which the information provides to the user of that information. [1] " Quality" is often perceived as subjective and the quality of information can then vary among users and among uses of the information.
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.
Data integrity is the maintenance of, ... It is at times used as a proxy term for data quality, [2] while data validation is a prerequisite for data integrity. [3]
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.
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.
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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.
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