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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deeper and richer with managed vertical content. All of which follows corporate standards invoked through the data systems via the user interface, rules repositories, and data models. Data Governance In the book Customer Data Integration: Reaching a Single Version of the Truth, the authors state: The goal of data governance is to establish and maintain a corporate-wide agenda for data, one of joint decision making and collaboration for the good of the corporation rather than the individuals or