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).
bi creating agile enterprise
data management vision can bind disparate, heterogeneous data sources together in a framework for access and sharing of data. This is a fundamental goal of EIM. As such, we will discuss metadata management, master data management, data quality, and data migration—all of which play important roles in integrating and managing data. The Business Value of EIM EIM is about managing information assets across the entire enterprise. The enterprise can be large or small, with several divisions or business