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In addition, information marts usually differ from knowledge warehouses in the type of knowledge they store. Many contain abstract data to speed up evaluation and reporting, versus the total detailed data units. In such cases, the info is refined and customized to satisfy the particular wants of the target market. Data mart administrators additionally construct extra logical and physical constructs to hurry information entry efficiency. A good instance is a corporation’s sales division. The department manager needs to see information on merchandise, customers and the gross sales staff’s performance metrics.

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They make sure that the information has the right format and is relevant to the enterprise users. These are some good reasons that corporations might use an information mart. Online Analytical Processing is a method to represent knowledge in multiple dimensions. For example, data analysts use an OLAP dice to simultaneously present gross sales income based mostly on months, cities, and merchandise. OLAP data structures are broad, with fields classified as both information or dimensions and lead to information duplication. This contrasts with conventional relational databases, which favor slender structures and little knowledge duplication.