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Data quality is the state of the data, reflected in its accuracy, completeness, reliability, relevance, and timeliness. Data quality powers many important data analytic dashboards, data products, and AI/ML models, and that’s why the concept of “garbage in, garbage out” is more important than ever. This means that real-world, data-driven ...
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Using “reliable” in these sentences highlights the idea of consistency and accuracy. It suggests that the subject can be trusted to deliver reliable results without any significant deviations or errors. Overall, both “dependable” and “reliable” convey trustworthiness and consistency, but with slight nuances. “Dependable ...
Jun 21, 2023 · Image Source. The success of any organization hinges on its ability to harness reliable, accurate, and valuable data. To unlock the full potential of data, it is important to understand the key dimensions that define its quality. Let's discuss this in more detail: Accuracy
For example, a reliable car is one that can be driven for long distances without breaking down or requiring frequent repairs. A reliable computer is one that can operate for hours without crashing or freezing. A reliable service is one that consistently delivers high-quality results without errors or delays. Define Secure
The company has a reliable customer service team that is available 24/7. The study was conducted using reliable methods, which ensured the accuracy of the results. The witness was deemed reliable by the court, and his testimony was crucial in the case. The software is reliable and easy to use, which makes it popular among users.
When you write for an academic audience, you are responsible for making sure that any information you provide and any ideas you cite come from sources that are both reliable and appropriate for your assignment. The most reliable sources are those that have been vetted by scholars in the field—articles published in peer-reviewed journals and ...
