Examples of using Data quality in English and their translations into Croatian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
Data quality| Ipsos.
Increasing data quality.
The data quality is considered very good.
Very good data quality.
Levant B Data Quality- the basis for the successful organization.
People also translate
SQL Server 2016 Data Quality.
Data quality is now considered to be relatively good but there remains scope for improvement.
Bisnode guarantees data quality.
Data quality and technical protection against unauthorised access guarantee a high standard.
Having trouble with data quality?
Data quality and technical protection against unauthorised access guarantee a high standard.
Services/Data management/Data Quality Management.
Reducing the level of prescriptions set at EU level without compromising data quality.
The regular issuance of data quality monitoring reports.
Ansolabehere and Hersh took two different approaches to addressing the data quality concern.
Improving and harmonising data quality requirements of the respective EU information systems;
Create a strategy anda plan for continuous data quality management;
(e) data quality, including a mechanism for and procedures to carry out data quality checks;
An approved product meets our policy and data quality requirements.
Statistics Statistical data quality report 2016 on euro area monetary and financial statistics.
The ESCB cooperates with owners of administrative data in assuring data quality.
The development of EU-wide standards for data quality, reliability and cybersecurity;
Data Quality- We keep Personal Information accurate, complete and current consistent with its intended use.
Improve the quality of the data by developing automated data quality control mechanisms.
Although the data quality looks very good, the two agreed on not to make any compromises in the validation activities starting at the beginning of April.
The design of PhotoCity also elegantly solves the sampling and data quality challenges of eBird and other distributed data collection projects.
Improve your data quality with Good Pipetting PracticeTM(GPPTM)- METTLER TOLEDO's comprehensive, systematic approach to maximizing pipetting accuracy and repeatability.
Some may fear that these steps toward gamification could hurt data quality, but I think that bored participants are a far greater risk to data quality. .
For the purpose of data quality assurance, the entity operating the Central Repository shall be responsible for the updating and quality of the Metadata and the directory, and also for the administration of the access control.
As it was in PhotoCity,the use of redundancy is an important principle for assessing and ensuring data quality in distributed data collection projects.