Data Cleaning

Data cleaning in the context of data warehousing involves refining and correcting data to ensure it is accurate, consistent, and useful for analysis. This process includes identifying and fixing errors, removing duplicates, and standardizing formats, such as dates or addresses. Just as a well-organized filing system makes it easier to find documents, data cleaning ensures that the information stored in a data warehouse is reliable and ready for insightful reporting and decision-making. By maintaining clean data, organizations can trust their analyses and make better-informed choices.