Examples of using Quality of data in English and their translations into Slovenian
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Financial
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Official
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Colloquial
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Medicine
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Ecclesiastic
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Computer
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Official/political
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Programming
We want the quality of data to be improved,
Slovenia is becoming comparable to the European geodetic field. The quality of data increased, and the modern equipment have enabled a quicker
on those where there is a risk that the quality of data may be lower.
An effective performance assessment, however, not only requires the availability and quality of data on farmers' incomes,
thus improving the quality of data on food waste at the national level.
To further increase the quality of data in SIS, eu-LISA should also offer training on the use of SIS to national training bodies
monitoring of food waste generation and treatment in Slovenia, thus improving the quality of data on food waste at the national level.
A project run by ECDC since 2009 devoted to improving the quality of data collected by the national surveillance systems was planned to finish in 2011,
simplify the reporting obligations of Member States and improve the quality of data.
The Commission does not carry out comprehensive checks on the quality of data reported in the IMS;
which provide adequate reliability and quality of data, are possible.
To further increase the quality of data in SIS, the Agency should also offer training on the use of SIS to national training bodies
with access to all of the information that the Commission requires for assessing the quality of data.
which the ECB believes is an excellent means of improving the quality of data.
gain assurance on the quality of data submitted in the annual statements on recoveries and withdrawals.
Where significant risks and problems in the quality of data are identified, Eurostat may carry out‘methodological visits'(so far
The quality of data is mostly ensured by verifications of reports by individual countries performed by the EEA
Successful business analytics depends on various factors like the skilled analysts who have good knowledge of the technologies and the business, quality of data, and an organizational commitment to data-driven decision-making.
Automatic procedures for identification of land cover changes using various remote sensing data have unexploited potential to improve the quality of data on the actual land use of agricultural