What does Brainspace’s 'Data Enrichment' feature aim to achieve?

The 'Data Enrichment' feature in Brainspace is designed to enhance raw data by adding relevant context and metadata. This process transforms basic data points into more meaningful information that can greatly improve understanding and insights derived from the data.

By enriching data, users are able to contextualize their information, making it easier to analyze patterns, relationships, and trends. This added layer of context helps users to make more informed decisions based on a comprehensive view of the data, ultimately leading to higher quality analysis and more actionable insights.

In contrast, deleting unnecessary data focuses on data management rather than enrichment, while simplifying data structures addresses data organization rather than improving data quality. Reducing data analysis time, while potentially an outcome of improved processes, is not the primary function of data enrichment itself.