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Erschienen in:
2018 | OriginalPaper | Buchkapitel
12. Data Warehousing and Business Intelligence
verfasst von : Mike Fleckenstein, Lorraine Fellows
Erschienen in: Modern Data Strategy
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Abstract
Traditionally data warehouses were built to reflect “snapshots” of the enterprise-level operational environment over time. In other words, a certain amount of operational data was recorded at a particular point in time and stored in a data warehouse. Originally, such snapshots were typically taken monthly. Today, they are often taken multiple times per day. Data warehouses provide a history of the operational environment suitable for trend analysis. This allows analysts and business executives to plan for the future based on recent trends. Answers to such questions as how have revenue or costs evolved over time and the ability to “slice and dice” such data are typical functions asked of a data warehouse.