The Six Principles of BW Data Validation The Problem
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چکیده
By their nature, data warehouses store large volumes of data. For analytical purposes, the final dataset is frequently aggregated and the transactional detail is lost. When users look at the analytical reports generated out of the BW system, the results they see can not be easily verified. As a result, creating user confidence in data quality becomes difficult and user trust is eroded, which can ultimately undermine the success of the EDW initiative.
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