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Discover LudwigThe phrase "and effectiveness of data" is correct and usable in written English.
It can be used when discussing the quality, impact, or utility of data in a specific context, such as research, analysis, or decision-making.
Example: "The study focused on the accuracy and effectiveness of data in predicting consumer behavior."
Alternatives: "and data efficiency" or "and data utility".
Exact(6)
Evaluation of status and effectiveness of data collection and analysis systems involving fair lending, etc., and report thereof, see section 340 e) of Pub.
To improve the quality and effectiveness of data bases by ensuring that all States and inspectors accurately and promptly report complete safety information.
Interactive data visualization leverages human visual perception and cognition to improve the accuracy and effectiveness of data analysis.
For efficiency and effectiveness of data collection, we divided the original interview questions into the following subgroups: (a) difficulties and dissatisfaction with and current market situations for mature female tennis wear, (b) FEA needs, and (c) additional information (see Table 1).
All the process of data collection was overseen by the mental health teachers to guarantee the rationality, legitimacy, and effectiveness of data collection.
The success of a disease surveillance system requires good quality data disseminated timely and efficiently, which depends on several factors such as surveillance coverage, data accuracy, timeliness of data acquisition and dissemination, and effectiveness of data presentation [ 2].
Similar(54)
The performance and effectiveness of any data mining approach to MBI depends substantially on the preprocessing applied to the data.
In this paper, we are focusing on exploring the impact of linear regression based statistical analysis of observed civil data sets that can be used to identify the eqation to improve the efficiency and effectiveness of future data collection and further refinement of activities in various civil engineering applications.
Thus, the robustness and effectiveness of such data-driven models from the literature remain unknown when using heterogeneous types of data.
Particularly, the Nyquist sampling theorem increases the cost and lowers the effectiveness of data acquisition and processing equipment in the transmission and processing of large-scale image data [1, 2].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com