What does 'data enrichment' refer to in Oracle Analytics?

Data enrichment in Oracle Analytics refers to enhancing existing data with contextual information. This process involves taking the raw data that an organization possesses and adding additional layers of information that can provide deeper insights and improve decision-making. By integrating external data sources, such as demographic information, market trends, or geographic data, organizations can derive more meaningful patterns, correlations, and trends from their analytics efforts.

Enriching data allows businesses to expand their understanding of the information they already have, enabling them to make more informed decisions based on a richer context. For instance, if a retail organization knows both transactional data and customer demographics, they can better understand purchasing behaviors across different market segments.

In contrast, the other options relate to different data processes that do not capture the essence of data enrichment. For example, cleaning data is about improving the quality by fixing inaccuracies rather than adding information. Storing data in a centralized repository is primarily about data management, and reducing data size focuses on efficiency without enhancing the data's context or value.