Essential Data Quality Metrics for Trustworthy Data Systems

The future of business lies in the hands of those who master data quality. Data-driven companies are 23 times more likely to acquire customers, according to a 2023 Mckinsey study. Key metrics such as data accuracy, completeness, and consistency ensure reliable decision-making. Poor data quality can lead to costly errors and damage customer trust. Businesses must prioritize core data quality metrics that drive data integrity and accuracy, including accuracy, completeness, consistency, timeliness, uniqueness, and validity. Implementing these metrics empowers businesses to maintain trustworthy data systems, resulting in enhanced operational efficiency and data transparency.