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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regardless of where the data resides and what functional entity needs it. First and foremost, EIM exists to support business objectives. This means business drivers are used to form the EIM strategy and tightly link them to corporate goals, such as profit, revenue, share value, etc. In order to aid in the attainment of business objects, various operational barriers must be overcome. One barrier that EIM is uniquely suited to breach is the difference in data definitions, business rules, and even jargon