data enrichment

Data enrichment involves integrating external data from trusted third-party sources into analytics in ways that complement a company’s internal data. For example, demographic, weather, or public health data can enhance the performance of predictive models. The retrieval and integration of this data can be time-consuming and technically challenging if not handled through automation.