“Data quality” refers to the overall trustworthiness of data, characterized by its accuracy, completeness, consistency, reliability, and timeliness. High-quality data is essential for effective decision-making and predictive analytics. Poor data quality can result in incorrect conclusions, wasted resources, and a loss of credibility. Organizations must implement measures to assess and improve data quality continuously. This includes establishing data governance frameworks, proper data entry, and routine audits. Prioritizing data quality leads to enhanced operational efficiency and better strategic outcomes.