Data integration (DI) is combining data from a variety sources into meaningful and valuable information. It involves combining data residing in different sources and providing users with a unified view of the trusted data.
Add Value to Data: DI is not just merely moving data, it also improves data models, metadata, master data and other data characteristics, so the data becomes more clean, consistent and complete. A good DI solution is a value-adding process.
Increases the Value of Business Practices: Effective business decisions depend on aggregated, calculated and time-series data values in a data warehouse where data and data structures wouldn’t exist without data integration.
360-degree Views of Business Entities: DI collects data from multiple sources to complete a single view of a business entity.