Examples of using Data quality in English and their translations into Ukrainian
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Colloquial
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Ecclesiastic
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Computer
it is tricky to ensure data quality and systematic approaches to sampling.
I think that bored participants pose a far greater risk to data quality.
indicate that challenges related to sampling and data quality are concerns for distributed data collection projects.
the use of redundancy is an important principle for assessing and ensuring data quality in distributed data collection projects.
Further, PhotoCity shows that problems related to sampling and data quality are potentially solvable.
However, in reality, it is almost impossible to achieve this goal because of data quality problems.
Indicative measurement” means measurements which meet data quality objectives that are less strict than those required for fixed measurements;
Indicative measurements' shall mean measurements which meet data quality objectives that are less strict than those required for fixed measurements;
We believe that economizing on the data quality is ill-advised since losses from inefficient policies can be much higher.
The primary objective of the GDDS is to encourage IMF member countries to build a framework to improve data quality and increase statistical capacity building.
so data quality goes down.
Advantech's data quality assessment(DQA) process,
In order to increase migration data quality and population data quality in general in Ukraine, it is worth considering the possibility of using mirror statistics,
automatic data retrieval from accounting systems, we are able achieve the data quality at the level of 95-99%.
problems combining misdiagnosis and poor data quality that accumulate over time.
the regulated community in making judgments necessary to generate results that meet the data quality objectives for the intended application.
have high traffic and data quality indispensable when operating in regions of Siberia,
C of Annex I shall apply in relation to the data quality objectives for mass concentration measurements of particulate matter
elementary analysis tools can be applied to check data quality during calibrations or after changes in hardware
of a regional coordinator, one or more QI mentors, and one or two data quality mentors, depending on the size of the region.