High-quality data is typically defined by several key attributes:
Accuracy: The data must be correct and free from errors. Completeness: All necessary data must be present. Consistency: Data should be consistent across different systems and datasets. Timeliness: Data should be up-to-date and available when needed. Relevance: Data should be pertinent to the decision-making process.