Description: Orphaned data refers to data sets that have lost their connection to the relevant entities or records they were originally associated with. This can occur in various situations, such as when records are deleted from a database without removing the related data, or when errors occur in data integration between systems. Orphaned data can be problematic as it can lead to confusion, redundancy, and complications in data analysis. Additionally, it can affect data quality, which in turn impacts decision-making and operational effectiveness. Identifying and managing orphaned data is crucial in data management, as it helps maintain the integrity and consistency of databases. To address this issue, data cleansing and validation techniques are employed to ensure that the stored information is relevant and useful. In summary, orphaned data is a significant challenge in data management, and its proper administration is essential for the success of any data strategy.
