Examples of using Data accuracy in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Firstly, data accuracy.
Data Accuracy is Essential.
Improved data accuracy;
Data accuracy and integrity come first.
Increased data accuracy;
People also translate
In other words,blockchain alone does not guarantee data accuracy.
Increased data accuracy;
Collecting samples in the rightway is the first step to ensuring data accuracy.
Improve data accuracy and reliability.
Unprecedented methods of testing data accuracy.
To improve data accuracy and completeness.
The impediment will be bandwidth and making it work in real time,not data accuracy.
Improve data accuracy, integrity and security.
Effective enrichment goes beyond simply minimizing errors and improving data accuracy.
Steps to Improve Whois Data Accuracy, September 3, 2002.
Data accuracy biggest barrier to personalisation for hotel ansd travel marketeers.
The"Insight No." position data accuracy will reach the inch or centimeter level.
Some mdMapper packages feature our custom brushless gimbal,which helps to improve data accuracy.
Insights” Positional data accuracy will reach the inch or centimeter level.
Adding automated data collection can allow you to collect key production information,improve data accuracy, and reduce your data collection costs.
Geospatial data accuracy and its legal implications in the Malaysian context.
The pilot will examine how sharing data across health-careorganizations on blockchain technology can improve data accuracy, streamline administration and improve access to care.”.
A key metric of crowdsourcing is data accuracy, which relies on the quality of the participating users' data. .
Ensures data accuracy, eliminates duplicates, and continuously corrects issues to ensure the business has trusted and contextualized information.
In FY18, Amtrak focused on improving data accuracy and increasing recycling rates at our facilities.
Today, data accuracy is increasingly powering company innovation, and quality becomes more important as data is used for AI training purposes.
Naveego's mission is to fix data accuracy problems, helping businesses and solution providers transform raw data into actionable information assets.
Today, data accuracy is increasingly powering company innovation, and quality becomes more important as data is used for AI training purposes.
Since data accuracy is a byproduct of good data governance, it's in a company's self-interest to adopt good data governance practices.