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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By first collecting the information on their thousands of products into one master repository, and then cleansing and standardizing the individual records, they were able to match and consolidate the products into a hierarchical tree. Instead of the data being segmented according to specialty catalog, which resisted vendor and product comparisons, they could now see which vendors offered the best price performance in general and which offered the best price for unique categories. The distributor was able