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Currently, data analysis is supported by transactional systems, business specific data marts, and other ad-hoc processes. Information is distributed making it difficult and time-consuming to access. Business teams have adapted to this environment by creating user maintained databases and manual "work-arounds" to support new types of reporting and analysis. This has resulted in inconsistent data, redundant data storage, significant resource use for maintenance, and inefficient response to changing business needs.
A data warehouse comprised of disparate data sources enables the "single version of truth" through shared data repositories and standards and also provides access to the data that will expand frequency and depth of data analysis...
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