Data IntegrationData integration is the process of combining data from different sources and providing the user with a unified view of the data. Data cleansing supplements this process. During the process of data integration, data from multiple sources are combined into a single data set. Redundant data entries are identified for consolidation or elimination. Data integration is essential to business intelligence because it connects together information needed to make strategic decisions across asset types, provides quick and convenient access to data, improves quality and comprehensiveness of data, promotes consistency and reduces the cost of data collection, storage and processing. An organization will benefit most from enterprise business intelligence when it helps users generate concise information from multiple data sources.
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Fig 3. A graphical example of data integration: |
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