Examples of 'data quality' in a sentence
Meaning of "data quality"
data quality: refers to the accuracy, reliability, and relevance of data. It measures how well data can be used for its intended purpose, often involving factors such as completeness, consistency, and timeliness
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- The state of qualitative or quantitative pieces of information, usually described in aspects of completeness, conformity, consistency, accuracy, and integrity.
How to use "data quality" in a sentence
Basic
Advanced
data quality
Improving data quality and transparency of methods.
Supported by reliable sources and data quality.
Improvement of data quality for types of collision.
Data quality assurance will be a particular challenge.
Basic criteria for data quality include.
Data quality is an issue throughout the system.
Limitations in statistical data quality and comparability.
Data quality remains a challenge on the portfolio.
Data sources and data quality standards.
Data quality is sufficient for energy consumption.
The assessment of data quality of national data.
Data quality and reliability will be improved.
Allows a standardized data quality assurance process.
Data quality reduces data use opportunities.
Significant improvement of data quality within planning.
See also
Improve data quality and filing arrangements.
Problems caused by poor data quality are numerous.
Data quality assurance and inventory improvement.
Read more on data quality management here.
Data quality can be improved by detecting duplicates.
Publicly available data quality was found to be acceptable.
Data quality is the key to improving healthcare.
Data sources and data quality issues.
New data quality directly to the sensor.
The first step to data quality is free.
Better data quality and higher productivity.
Review of available information and data quality.
Conference on data quality for international organizations.
Procedures were developed for data quality checks.
No specific data quality requirements in the methodology.
Improvement in related metadata and data quality.
Improved data quality and fewer amendments.
Steps in the formulation of data quality objectives.
Enhancing data quality through database integration.
Introduce system for data quality control.
Higher data quality and less work.
Data needed and assessment of data quality.
Data quality management using metadata standards.
Having poor data quality can cost.
Data quality must be enforced on entry level.
The approach to data quality must be pragmatic.
Data quality at the heart of infrastructure modernisation.
An integrated view of data quality in earth observation.
How data quality improves artificial intelligence.
Another key aspect of data quality is traceability.
Data quality is systematically evaluated every quarter.
High and low data quality supported.
Data quality issues encountered in the past.
Do not let poor data quality or quantity.
Screening and principle verification of data quality.
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Examples of using Quality
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Use high quality alkaline batteries only
Increase access to high quality cancer risk
Implement quality standards and innovations in care
Examples of using Data
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Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available
