Sentence examples for addressing data issues from inspiring English sources

The phrase "addressing data issues" is correct and usable in written English.
You can use it when discussing the process of identifying and resolving problems related to data, often in a technical or analytical context.
Example: "The team is focused on addressing data issues to ensure the accuracy of our reports."
Alternatives: "resolving data problems" or "tackling data challenges."

Exact(1)

In a way, OpenData is addressing data issues for the some of the same kinds of customers that Palantir does, but from a different direction: it's offering ways to harness and present data for those on the more public-facing side of these organizations.

Similar(59)

I teach CEE 3040 Uncertainty Analysis in the fall; it focuses on giving undergraduates the background they need in probability and statistics to address data issues, interpretation of data, and uncertainty analyses in engineering.

Addressing data quality issues in information systems remains a challenging task.

Projects spent an average of 12% of their budget on addressing data quality issues, resulting in a 4% cost overrun after reserves were exhausted.

As a result, addressing data-quality issues as customers are acquired is critical to minimize the costs associated with poor data.

Data quality is the area that establishes how the organization will address data quality issues.

Inaccuracy, incompleteness and inconsistence are common characteristics of monitored field data, which then often needs intensive pre-processing to address data quality issues and improve data analysis results.

In the design of the Directory we have addressed data management issues that relate to the lifecycle of a research project.

The key to this process is the need for DOTs to, first, identify existing challenges with their current planning process and, second, employ GIS where necessary to address data-related issues.

To address missing data issues, the full information maximum likelihood (FIML, Muthén and Muthén 1998 2012) was used under the assumption of missing at random (MAR).

However, the use of central-site monitoring data for epidemiology studies requires a quality assurance activity beyond that which is used for regulatory activities as well as methods to address missing data issues.

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