Data profiling, also known as data archeology, involves analyzing and assessing data to understand its structure, content, and quality. This process typically includes identifying patterns, anomalies, and inconsistencies in data, along with checking for completeness, accuracy, and validity. By cleansing and correcting data, businesses maintain high-quality datasets that are essential for reliable analytics and decision-making