Data Quality Score

Definition

A quantitative measure of data fitness for its intended use, typically assessed across dimensions including accuracy, completeness, consistency, timeliness, uniqueness, and validity. Data quality scores enable organisations to monitor and improve the reliability of their data assets, prioritise remediation efforts, and establish trust in analytical outputs. High data quality is a prerequisite for effective AI and machine learning, and poor data quality is estimated to cost organisations 15-25% of revenue through flawed decision-making.