New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster service stress front-office applications, while parallel demands from internal users place greater demands on back-office systems. Before you discover that your data quality has been rendered ineffective, consider adopting enterprise information management (EIM).
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by allowing data transformations on the fly, as the data is moved. The changes to the data can either be saved or discarded, knowing that the next time the data is moved the same transformation can be applied. In essence, data integration is a key building block of EIM. Yet even the data integration technology space is broad. There is ETL (extract/transform/load) , EII (enterprise information integration) , EAI (enterprise application integration) , database replication, and the simplest of all, FTP (file