Sentence examples for data quality confidence from inspiring English sources

Undermining confidence: 84% of CEOs are concerned about the quality of the data they're basing decisions on, according to KPMG's "2016 Global CEO Outlook". When there's a lack of trust in data quality, confidence in the results it provides is quickly eroded.

To account for data quality (confidence), we also used the filtered yeast interactome ("FYI"), the Structural Interaction Network ("SIN"), "DIP-CORE" and the updated high-confidence dataset ("Updated-HC") as high-confidence datasets.

They control for multiple potential confounds, and possibly the most important is data quality enabling confidence in the results.

A potential limitation is that data analysis taking into consideration clustering by general practice would have provided insight into potential bias resulting from variable data quality and confidence intervals that could have a different width than reported.

Decision making: The better the data quality, the more confidence users will have in the outputs they produce, lowering risk in the outcomes and increasing efficiency.

But improvements in data quality would provide more confidence in the results of the study to potential users of the results outside academia.

The WHOI cruise, he adds, which includes researchers from the International Atomic Energy Agency and multiple nations, "can build public confidence in data quality" and build a "broad, common data set" that will be extremely useful for marine scientists studying radiation in the future.

The Nouna DSS has collected data since 1992, with continuous improvement of data quality over years, giving much confidence on data quality for our study.

It was, however, extensively validated at both the transcript and protein level in the original study and therefore provides a high-degree of confidence in data quality.

Inadequate presentation of performance, lack of confidence in data quality and the risk of adverse consequences are mentioned as reasons [ 14, 16].

The low degree of overlaps with the reference databases at lower HAPPI quality grades are expected, because of the much higher coverage of PPIs and lower confidence in data quality in HAPPI 3-star, 2-star, and 1-star subsets.