Data cleansing, also known as data scrubbing or data cleaning, is the process of identifying and correcting inaccurate, incomplete, or irrelevant data in a database. It involves detecting and removing duplicate records, correcting spelling errors, and standardizing data formats to ensure consistency and accuracy. This crucial step in data management helps to improve the overall quality of data, making it more reliable and usable for analysis and decision-making. Data cleansing is essential for maintaining the integrity of a database and ensuring that the information it contains is up-to-date and trustworthy.