Examples of using The data quality in English and their translations into Swedish
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Official/political
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Computer
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Programming
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Political
This increases the data quality and minimises errors.
However, killing the looping procedure does not delete the data quality project cleanly.
Analytics: Increase the data quality of the statistics functions.
The data quality and proportionality principle- data should be accurate
This section describes how the data quality shall be assessed.
People also translate
We want the data quality to be excellent,
All generic data shall fulfil the data quality requirements specified.
high demands on the data quality.
Statistics: increase the data quality of the statistic functions.
that the data is incomplete and the data quality is often poor.
PhotoCity solves the data quality and sampling problems in distributed data collection.
First of all, you need to determine the data quality of the old system.
Verify that the data quality project is deleted from Data Quality Client as expected.
Once the data quality has reached an acceptable level,
reporting improves the efficiency as well as the data quality.
Analytics: increase the data quality of the statistics functions This website won't.
one advantage with this solution is that parts of the reporting could be done manually in cases where the data quality is low
This section describes the data quality requirements and how the data quality shall be assessed.
price information process, and improve the data quality.
This issue only occurs if the data quality project was created before you installed SQL Server 2012 CU1.
Use the SchemaName value that is returned, and then run statements that resemble the following in SQL Server Management Studio to supply the matching schema name and the Data Quality Project ID.
To meet the data quality requirements and transmission deadlines of the Directive many countries have worked on technological and methodological improvements.
Recent scientific advice indicates that recreational salmon fisheries at sea have a significant impact on the salmon stocks, even though the data quality in this regard is not at a high precision level.
The data quality and methods of the studies investigated also have shortcomings,
having regard to the data quality principle is applicable to computerized databases.
have highlighted the need for improving the data quality of such declarations,