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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remain disjointed. Similar to how buildings are connected by telecommunications and roads, and managed by zoning restrictions and centralized property management firms, so too can distributed data systems be interconnected and centrally managed. Business intelligence (BI) and data integration competency centers, data governance councils, data stewardship programs, metadata management, and other efforts are all components of a common data management infrastructure. The benefits of this approach are