why data warehouse projects fail

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Post on 09-Jul-2015

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Whether you are venturing into a new Data Warehouse and Business Intelligence build or significantly enhancing your existing solution, here are five pieces of advice that can make your journey much smoother. Before we do that we must define what a failure is: if the business does not incur significant benefit or does not trust the solution it is a failure. It is that simple. While many valid excuses for the failure may exist, it is still a failure if the business does not adopt the solution.

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Page 1: Why Data Warehouse Projects Fail