Data duplication refers to the occurrence of identical copies of data within a database or data storage system. This can happen unintentionally when the same information is entered multiple times, leading to inconsistencies and inefficiencies. For example, if a customer’s details are recorded more than once, it can create confusion in managing records. To manage data duplication, organizations often implement data cleansing techniques. These methods help identify and remove duplicate entries, ensuring that the data remains accurate and reliable. Maintaining clean data is crucial for effective decision-making and operational efficiency in any organization, especially those relying on big data analytics.