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2. Data quality - Wikipedia

   en.wikipedia.org/wiki/Data_quality

   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.

3. ISO 8000 - Wikipedia

   en.wikipedia.org/wiki/ISO_8000

   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.

4. Information quality - Wikipedia

   en.wikipedia.org/wiki/Information_quality

   Larry English prefers the term "characteristics" to dimensions. [6] In fact, a considerable amount of information quality research involves investigating and describing various categories of desirable attributes (or dimensions) of data. Research has recently shown the huge diversity of terms and classification structures used. [7]

5. List of system quality attributes - Wikipedia

   en.wikipedia.org/wiki/List_of_system_quality...

   Many of these quality attributes can also be applied to data quality. Common subsets ... ISO/IEC 9126 Software engineering—product quality; Cognitive dimensions of ...

6. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   [21] [22] The need for data cleaning will arise from problems in the way that the datum are entered and stored. [21] Data cleaning is the process of preventing and correcting these errors. Common tasks include record matching, identifying inaccuracy of data, overall quality of existing data, deduplication, and column segmentation. [23]

7. Master data management - Wikipedia

   en.wikipedia.org/wiki/Master_data_management

   The Data Owner is responsible for the requirements for data definition, data quality, data security, etc. as well as for compliance with data governance and data management procedures. The Data Owner should also be funding improvement projects in case of deviations from the requirements.

8. Data governance - Wikipedia

   en.wikipedia.org/wiki/Data_governance

   While data governance initiatives can be driven by a desire to improve data quality, they are often driven by C-level leaders responding to external regulations. In a recent report conducted by CIO WaterCooler community, 54% stated the key driver was efficiencies in processes; 39% - regulatory requirements; and only 7% customer service. [6]

9. Category:Data quality - Wikipedia

   en.wikipedia.org/wiki/Category:Data_quality

   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 ...