What does de-duplication refer to in data management?

De-duplication in data management specifically refers to the process of removing duplicate entries from data sets. This practice is crucial for maintaining data integrity and ensuring that analyses are based on accurate information. When data sets contain repeated information, it can lead to skewed results, ineffective decision-making, and unnecessary use of storage space.

By eliminating duplicates, organizations can improve the quality of their data, streamline data processing, and enhance the efficiency of data storage systems. This practice aids in reducing redundancy and can help achieve better performance in data retrieval and analysis.

The importance of de-duplication lies in its potential to minimize errors and improve the reliability of insights derived from data, contributing to better overall management practices.