Data integration is the process of combining data from several disparate sources to provide users with a single, unified view. Integration is the act of bringing together smaller components into a single system so that it’s able to function as one. And in an IT context, it’s stitching together different data subsystems to build a more extensive, more comprehensive, and more standardized system between multiple teams, helping to build unified insights for all.
Data integration helps significantly consolidate all types of data, considering its growth, volume, and its varying formats. Combining these to work from one set of data allows businesses to help internal departments see eye-to-eye on strategies and business decisions, and produce actionable and compelling business insights for short- and long-term success. As an integral part of the data pipeline, bringing together integration plus data ingestion, processing, transformation, and storage will help your business aggregate data regardless of type, structure, or volume.