Data warehouse and business intelligence (DWH/BI) are showered with risks -- from data quality in the warehouse to analytic values in BI reports. If not addressed properly, data quality risks, in particular, can bring entire projects to a halt—leaving planners scrambling for cover, sponsors looking for remedies, and budgets wiped out.
This blog outlines methods for recognizing and minimizing the data quality risks often associated with DWH/BI projects. Addressing additional DWH/BI project risks (including performance, schedules, defects discovered late in the SDLC, etc.) is also important but is beyond the scope of this blog.
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