Sentence examples for data quality rules from inspiring English sources

Statistical process control is an analysis tool used for measuring and charting the conformance of information to a set of data quality rules.

By defining data quality rules whose observance can be measured at various levels across the enterprise information architecture, the data quality practitioner can assemble scorecards for evaluating stability and predictability associated with data quality measurements, and can differentiate common causes from special causes of data failures.

The goal is to provide a medium to communicate the confidence that business is not being impacted by violation of the data quality rules and to show how a trending improvement or regression in data quality compliance relates to operational efficiency or competitive advantage.

To catch semantic inconsistencies, we need data quality rules, which are typically expressed as dependencies.

When an organisational actor has a need for managing quality of social media data, quality rules are specified.

In practice, the implication analysis helps us eliminate redundant data quality rules defined as (mathsf {GFDs}) and hence optimize our error detection process by minimizing rules.

For data quality, validation rules were programmed to avoid inconsistent or out of range values; repeat interviews were conducted in 3% of compounds per village, and supervisory oversight was conducted on at least 2% of weekly interviews.

Figure 14 provides a detailed data view of quality rules.

The "Appendix" includes a detailed data view of quality rules, and metadata.

The metadata management layer consists of quality rules, metadata, and data (data stores).

For this purpose, we use semantic descriptions of geospatial data quality requirements in a rule-based form.