Solving Your Data Problems: To DW or Not to DW

by Larissa Moss

Almost every organization has data problems. These problems can be grouped into two categories. One type of problem is having redundant, inconsistent, and often plain-wrong data. The other type is not having easy access to the data. From the inception of the data warehouse (DW), the objective of building a DW has been to solve both types of problems. First, data is compiled, standardized, and integrated into a DW as the "single version of the truth." Second, end users in the organization are given access to the DW to do their reporting and analytics, which has become known as business intelligence (BI). To this day, there is a large contingent of BI experts who see the DW as the engine (or "plumbing") behind BI.

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Solving Your Data Problems: To DW or Not to DWThu Jun 12 08:20:13 CDT 2008