Kiera Leigh L. Hular
MT 14 – CC
Data Quality is essential—it allows the users to extract the correct information that would benefit the decision-making process.
The article below emphasizes the critical importance of data quality, assessing whether information can effectively serve its purpose in a given context, such as data analysis. Five key data quality characteristics are highlighted: accuracy, completeness, reliability, relevance, and timeliness. Accuracy ensures that information is correct, completeness assesses how comprehensive the data is, reliability ensures consistency across different sources, relevance questions the necessity of collecting specific information, and timeliness focuses on how up-to-date the information is.
The article provides practical examples for each characteristic, illustrating the potential consequences of poor data quality, such as financial errors or reputational damage. The text underscores the significance of adhering to these data quality standards today.

https://www.precisely.com/blog/data-quality/5-characteristics-of-data-quality