Sentence examples for data quality benefits from inspiring English sources

In addition, perceptions regarding data quality, benefits, utility, adoption, utilization and impact on workflow of reporting prior to and after the intervention will be collected during baseline and at 12-months after implementation of each form intervention.

Qualitative data regarding pre-post provider perceptions of report completeness, accuracy, and timeliness, reporting burden, data quality, benefits, utility, adoption, utilization and impact on reporting workflow will be collected using semi-structured interviews and open-ended survey items.

The GAIA assimilation has several benefits: (1) data quality is consistent and there are no missing values or outliers; (2) global data are available for all altitudes; and (3) all atmospheric parameters are available.

Data selection for phylogenomic analyses is controversial and centers on issues of data quality and quantity and on benefits of taxon sampling versus high data coverage that minimizes alignment gaps (Laurin-Lemay et al. 2012; Amemiya et al. 2013; Betancur-R et al. 2013; Misof et al. 2013; Salichos and Rokas 2013).

Data quality motivation deals with employee rewards, benefits, and perceptions to encourage more careful attention to improving the quality of data handled by the appropriate members of the organization.

Research shows that the degradation of data quality is so minimal that its benefits are outweighed by the cost.

Potential benefits include clearer communication of data quality and the identification of achievable targets to benchmark quality improvement initiatives.

But it means that many communities are not benefiting from this improvement in data quality.

Periodic evaluation of progress on the study, including assessments of data quality, recruitment and retention, and participant risk versus benefit.

And when companies fail to achieve the expected benefits from a software application, poor data quality is often the culprit.

The benefit is that higher levels of data quality translate into faster time-to-market for activities including product profiling and pricing, and faster trade executions.