What Is Data Quality?
Data quality refers to the accuracy, completeness, consistency, and timeliness of data. In other words, it is the overall health of data and how well it can be trusted for use in decision-making processes.
The importance of data quality cannot be overstated. Poor-quality data can have serious consequences for businesses, leading to incorrect analysis and flawed decision-making. This can result in financial losses, damage to reputation, and missed opportunities.
Therefore, organizations must have measures in place to ensure the quality of their data. This includes establishing clear data governance policies, implementing robust data validation processes, and regularly monitoring and maintaining data integrity.