Data Enrichment

Data enrichment refers to the process of enhancing existing data by supplementing it with additional information or integrating it with other data sources to increase its value and usability. This can involve, for example, combining sensor data with external databases or using artificial intelligence and analytics to provide deeper insights.

Through data enrichment, organisations can improve the quality of decision-making, develop more accurate predictions and optimise business processes. It is a key aspect of industrial internet and data-driven operations.

See also: SQL, Industrial Internet