Data quality
Data Quality
Data Quality (pronunciation: /ˈdeɪtə ˈkwɒlɪti/) refers to the condition of a set of values of qualitative or quantitative variables. It is often related to Data Management, Data Governance, and Data Integrity.
Etymology
The term "Data Quality" is derived from the English words "data", meaning "facts and statistics collected together for reference or analysis", and "quality", meaning "the standard of something as measured against other things of a similar kind; the degree of excellence of something".
Definition
Data Quality is the degree to which data is accurate, reliable, and applicable to its intended use. It is a critical aspect in various fields such as Healthcare, Information Technology, Business Intelligence, and Data Science. High-quality data is complete, accurate, consistent, timely, valid, and unique.
Importance
Data Quality is crucial in decision-making processes. Poor data quality can lead to inaccurate insights, misguided strategies, and potential financial losses. On the other hand, high-quality data can drive business growth, improve operational efficiency, and enhance customer satisfaction.
Related Terms
- Data Cleansing: The process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.
- Data Validation: The process of checking if the data meets certain criteria, such as logical consistency and integrity.
- Data Quality Assessment: The process of inspecting the quality of data, which includes aspects such as accuracy, completeness, and consistency.
- Data Quality Management: The process of acquiring, maintaining, enhancing, and ensuring the quality of data over its entire life cycle.
See Also
External links
- Medical encyclopedia article on Data quality
- Wikipedia's article - Data quality
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