原文标题：Enabling the Agile Enterprise Through Unified Data

Analytic data is derived and segregated from transactional data. It requires separate databases with separate schemas — one optimized for transactions, and another optimized for analytics. Data must be moved from operational systems to business intelligence (BI) systems, such as data warehouses, on a periodic basis which results in delays in availability for analytic data, which is usually days or a week old. This keeps analytics from interfering with transactionperformance which can be useful for planning analytics, but not for intra-day decision support.

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Often, application data is segregated by application where each application database has its own schema. Bringing the data together to perform analysis across application spaces is a major project while separate data means many databases to administer. This can also lead to complex administration and operations and schema changes being manually propagated to all related databases. This inflexibility stifles application development, making database applications less agile than they could be.

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