Good data is accurate, reliable, and relevant information that is collected, processed, and stored in a consistent and organized manner. It is timely, complete, and free from errors, ensuring it can be trusted for analysis and decision-making. Good data is also structured in a way that makes it easy to access and interpret, often accompanied by clear metadata that provides context. It is consistent across different datasets and can be used to derive meaningful insights that drive informed actions. In short, good data is the foundation of effective decision-making, innovation, and operational efficiency.