Data profiling, also known as data archeology, involves systematically reviewing, analyzing, and cleansing data to understand its structure, relationships, and patterns. This process helps identify inconsistencies, anomalies, and inaccuracies, ensuring that the data meets quality standards. By maintaining clean, well-structured data, organizations can improve decision-making, enhance data-driven strategies, and ensure that their data assets are reliable and accurate for various applications.