Data quality refers to the condition of data based on its accuracy, completeness, reliability, and relevance to its intended use. High-quality data ensures that insights drawn from analytics are trustworthy and actionable, while poor-quality data can lead to misinformed decisions and costly mistakes.
Data quality refers to the condition of data based on its accuracy, completeness, reliability, and relevance to its intended use. High-quality data ensures that insights drawn from analytics are trustworthy and actionable, while poor-quality data can lead to misinformed decisions and costly mistakes.
Data quality refers to the condition of data based on its accuracy, completeness, reliability, and relevance to its intended use. High-quality data ensures that insights drawn from analytics are trustworthy and actionable, while poor-quality data can lead to misinformed decisions and costly mistakes.
Data quality refers to the condition of data based on its accuracy, completeness, reliability, and relevance to its intended use. High-quality data ensures that insights drawn from analytics are trustworthy and actionable, while poor-quality data can lead to misinformed decisions and costly mistakes.