What enables users to contribute to the accuracy of data retention implementation?

Label-driven retention policies are particularly effective in enabling user contribution to the accuracy of data retention implementation because they allow users to apply specific labels to their documents and emails. These labels not only classify the information but also dictate how long that information should be retained. When users manually classify their content with appropriate labels, they are directly participating in the retention process, ensuring that the data is handled according to its relevance and compliance needs.

This method enhances the accuracy of data retention because it relies on user input to categorize data effectively, allowing organizations to retain valuable information and dispose of unnecessary data, thereby aligning retention strategies with actual business needs. Users are often in the best position to determine the importance and relevance of the data, making their input crucial for a successful data governance strategy.