Data quality is the process of ensuring that data meets established expectations. High-quality data is crucial for effective decision-making and analysis.
Definition: Data quality refers to the accuracy, consistency, and reliability of data. It is essential for maintaining trust in data-driven processes and outcomes.
Importance: The principle of “garbage in, garbage out” highlights that poor-quality data leads to poor model performance.
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Related terms: