Data cleaning, also known as data cleansing, refers to the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset. In the context of business, this is a crucial step to ensure the quality and reliability of data used for decision-making. By cleaning data, businesses can improve the accuracy of their data analysis and business intelligence efforts.