Data integration can be defined as the process of combining data from different sources to form logical and valuable information by using both technical and business procedures. This process, however, comes with its own share of concerns. Here are key issues that you should focus on to guarantee a successful data integration process that yields information that can be trusted.
Data integration is fundamental when companies use more than one system. Data integration is the process of transferring data located in various data sources to other data targets. Data integration and collaboration between data systems and processes is vital because it allows processes to work faster and be more reliable and robust.