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Data quality management (DQM) was routinely evaluated for surveillance data.
Her company calls the process "data quality management".
An example for data quality management of tweets.
Fig. 2 Use case view to data quality management.
First, data quality management must become a strategic initiative for companies.
Deployment view (Fig. 4) illustrates the main SW components, which are needed for data quality management.
Similar(17)
Feasibility of the developed data quality management-tool was validated in a business context, in which the company utilised data quality information for sentiment analysis of tweets.
This paper will also provide guidelines for the design and development of similar complex systems/tools and discusses the issues of agricultural data-quality management, particularly in the field of insect-pest management.
To reach valid conclusions in research and employ CIS data for quality management, it is crucial to have high data quality.
This tool is useful for research purposes; however, it is less applicable to the needs of decision-makers and managers who need data for quality management prospectively.
23 care groups provided aggregate register-based performance indicators of all their practices as well as data on quality management measured with a questionnaire filled out by 1 or 2 of their quality managers.
More suggestions(14)
assessment quality management
data data management
data quality operational
existing quality management
reporting quality management
data quality model
data center management
data quality profiling
data quality problem
data quality check
data quality control
data quality assessment
data quality evaluation
data quality sampling
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com