What is involved in data enrichment?

Data enrichment involves enhancing existing data with additional information to provide more context, depth, and insights. This process can include supplementing data sets with external data sources, which allows organizations to gain a more comprehensive view of their data. By adding relevant details such as demographic information, geographic data, or social media activity, companies can improve their data quality and make more informed decisions.

In contrast, analyzing data for patterns focuses on understanding trends within the existing dataset rather than augmenting it. Cleaning data involves removing inaccuracies or irrelevant information, which improves data integrity but does not add new insights. Consolidating data into one source is about gathering information from various sources into a unified repository, but it doesn't necessarily enhance or enrich the data itself. Hence, focusing on the enhancement aspect defines data enrichment.