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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organization’s operating infrastructure; then binding those repositories together into one effective information management environment where information is delivered to the person who needs it, when they need it, and how they need it. EIM, as the term denotes, spans the entire corporation, regardless of size, from a small, 30-person garment maker to a 50,000-person, multi-national manufacturer. Agility, accuracy, and completeness of data delivery are the three primary objectives. An EIM initiative