"Good data" refers to information that is accurate, relevant, timely, and reliable. It is clean, meaning it is free from errors, duplicates, and inconsistencies. Good data is well-organized and structured, making it easy to analyze and derive meaningful insights. It should be complete, representing all necessary aspects of a subject without unnecessary gaps. High-quality data is also consistent across different sources and systems, ensuring uniformity in analysis. In a business context, good data is crucial for decision-making, enabling organizations to make informed choices that drive efficiency, improve performance, and achieve strategic goals effectively.