Examples of using Data quality in English and their translations into Finnish
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Medicine
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Official/political
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Computer
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Programming
Data Quality and Accuracy.
Article 4(d), Data quality.
Data quality and processing.
Methodology and data quality.
Data quality and accessibility 3.
People also translate
Type of required data quality assessment.
A constant improvement in work methods and data quality.
Improving data quality and repository arrangements;
In particular, Bosch uses them to improve data quality.
Data quality and dissemination policy.
TrueSample addressed data quality in important new ways.
Data quality must be improved for all these areas of action.
Constant efforts and resources are needed to ensure data quality.
Consistent data quality at both low and high frequency ranges.
Close cooperation between the Commission and Member States can improve data quality.
Data quality checks begin even before the data is uploaded.
For ideas about how to measure data quality from respondents, see Schober et al.
Five data quality indicators shall be used to assess data quality.
An area that is ripe for exploitation by the main Business Intelligence vendors is Data Quality.
Improved data quality and accuracy resulting in fewer wrong deliveries.
Ansolabehere and Hersh took two different approaches to addressing the data quality concern.
Articles 6 and 7: Data quality and criteria for legitimate processing.
The most important device data was also studied to be utilized in the data quality meter.
Data quality is now considered to be relatively good but there remains scope for improvement.
Work will focus on the establishment of a reference system which will enhance data quality and reduce uncertainty.
Data quality and application of a case-by-case approach for technical provisions.
Through ensuring the availability of better quality and more complete data and information data quality/completeness.
Improving data quality is basically fixing an error when you find it.
This will reliably ensure the comparability of the statistical data, which, if missing,can lower data quality.
PhotoCity solves the data quality and sampling problems in distributed data collection.