What is the term for enhancing raw data with additional information in Big Data analytics?

The term for enhancing raw data with additional information in Big Data analytics is data enrichment. This process involves improving the quality and value of data by merging it with external datasets to provide more context or additional attributes that can lead to better insights and analyses. For instance, taking customer data and adding demographic information can provide a more comprehensive view of customer behavior, enabling more informed business decisions.

Data enrichment can be crucial for organizations looking to derive actionable insights from their data, as it allows for a deeper understanding of trends, patterns, and potential opportunities within the dataset. This enhancement goes beyond simply cleaning or filtering the data; it adds layers of information that can significantly increase the data's usefulness in analytics processes.