Definition: Data quality involves how reliable and effective data is. To ensure that data is of high quality, it must be cleaned, and scanned for any problems that could occur. Reference: http://searchdatamanagement.techtarget.com/sDefinition/0,,sid91_gci1007547,00.html 10/27/08
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| - Data Quality
- Data quality
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| - Definition: Data quality involves how reliable and effective data is. To ensure that data is of high quality, it must be cleaned, and scanned for any problems that could occur. Reference: <a href="http://searchdatamanagement.techtarget.com/sDefinition/0,,sid91_gci1007547,00.html">http://searchdatamanagement.techtarget.com/sDefinition/0,,sid91_gci1007547,00.html</a> 10/27/08
- Data quality refers to the accuracy and completeness of the data in a database.
- Every Data Item should have a minimum definition describing its quality. Business rules determine the required level of quality. Aspects of quality are:
* Completeness - all mandatory information is filled in
* Consistency - the same information is aligned across different systems
* Correctness - it has the values within range
* Accuracy - the right number of digits behind the dot
* Accessibility - the information is available for the users that need it
* Clarity - the information was entered with sufficient contextual information to make it clear for the user to understand
* Timeliness - the information was loaded on time
* Security - the information was classified correctly; preventing unauthorised access
* Cost - cost for acquisition are in line with th
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| abstract
| - Definition: Data quality involves how reliable and effective data is. To ensure that data is of high quality, it must be cleaned, and scanned for any problems that could occur. Reference: <a href="http://searchdatamanagement.techtarget.com/sDefinition/0,,sid91_gci1007547,00.html">http://searchdatamanagement.techtarget.com/sDefinition/0,,sid91_gci1007547,00.html</a> 10/27/08
- Data quality refers to the accuracy and completeness of the data in a database.
- Every Data Item should have a minimum definition describing its quality. Business rules determine the required level of quality. Aspects of quality are:
* Completeness - all mandatory information is filled in
* Consistency - the same information is aligned across different systems
* Correctness - it has the values within range
* Accuracy - the right number of digits behind the dot
* Accessibility - the information is available for the users that need it
* Clarity - the information was entered with sufficient contextual information to make it clear for the user to understand
* Timeliness - the information was loaded on time
* Security - the information was classified correctly; preventing unauthorised access
* Cost - cost for acquisition are in line with the value of the information
* Relevance - the information is relevant within the context of the system The required Data Quality is defined by the Data Definition Owner.
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