"efficiency of data" is a grammatically correct phrase and can be used in written English.
It refers to how effectively and accurately data is collected, processed, and utilized. You can use it when discussing the performance or effectiveness of a data system or analysis method. For example: "The efficiency of data collection has greatly improved with the implementation of new technology." "Measuring the efficiency of data processing can help companies identify areas for improvement in their operations." "In order to increase the efficiency of data usage, the team implemented a new system for organizing and accessing information."
Facebook so far has had a single-minded focus on efficiency of data centers and servers.
Other approaches that increase the speed at which data can be sent over copper include improving the efficiency of data encoding and frequency modulation (see "A Bandwidth Breakthrough").
VMware's software creates virtual computers inside a server, boosting the efficiency of data centers and driving down the cost of servers.
The energy efficiency of data processing is becoming more and more important for both economical and ecological reasons.
This involves working closely with an innovative interdisciplinary team of researchers collaborating on anything from the development of new tools to enhancing the efficiency of data processing to teaming with robots in the workplace.
We have also been working with Stephen Wood, an engineering doctorate student at the University of Surrey, who is researching whether it is possible to reduce environmental impacts at the design stage of the software product development, in addition to improving operational efficiency of data centres and the hardware.
These findings strongly support the use of novel database technologies to improve the efficiency of data management within the biological sciences.
In this paper, we first propose a secure payment-based incentive mechanism for deduplication systems which can enhance the efficiency of data management.
This study assessed the impact of systematic review and data extraction experience on the accuracy and efficiency of data extraction in systematic reviews.
The primary outcome measure was observed efficiency of data utilization as determined by time spent in data gathering before morning rounds.
Cloud and increasing digitalisation is also helping to improve the efficiency of data collection and analysis.
