Examples of using Data quality in English and their translations into Japanese
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Tom started his career at Bell Labs, where he led the Data Quality Lab.
AB- Background National surveillance data should be validated to identify methodological problems within the surveillance programme and data quality issues.
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Modern techniques can cut the number of animals used and improve data quality.
Data Quality and Governance Cloud|
Join the IAIDQ(International Association for Information and Data Quality).
To ensure state-of-the-art data quality, we have a highly-skilled team of experts focusing entirely and only on this task.
A specialized, multilingual research team in addition to proprietary software that ensure industry-leading data quality.
Boomi improved data quality, efficiency, and the patient experience. We couldn't ask for more.”.
Good data quality costs money, requires strong discipline and management controls- attributes that most organisations have little appetite for.
With its vast experimental freedom and gigaseal data quality, the Patchliner is one of the most versatile patch clamp instruments on the market.
In a blog post Leihla Pinho details the undertakings to improve data quality, increase the speed of mapping, and improve user return rate.
Data Quality is one key area that Microsoft have very few offerings to users in compaprisom with widely used Data Quality tools.
Improve data quality by using organizational knowledge and third-party data providers to cleanse data through Data Quality Services.
The implementation of the verification process improves the data quality and avoids rework throughout the product manufacturing lifecycle, realizing overall time and cost reduction.
For VPs of Construction, myWorld™ improves data quality, enforces standards, and gets it right the first time.
Enjoy the benefits of real-time data monitoring and access to a global calibration database to trace data quality to minimize errors.
HOT is searching for a web-developer to build an OSM Data Quality Analysis Tool.
It also has developed common data quality standards and tools to share research results.