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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management environment with robust facilities for data creation, collection, summarization, sharing, and reporting. The ultimate goal is maximizing business performance through access to trustworthy and authoritative business information. Getting Started A common question is How do I get started with EIM? Interestingly, the adoption and maturity of EIM appears to be moving in lockstep with data quality. When data quality adoption began accelerating in the mid-2000s, practitioners changed their question