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Pros and Cons of Using a Vendor Provided Analytical Data Model in Your BI Implementation

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The following question comes from many of our clients: what are some of the advantages and risks of implementing a vendor provided analytical logical data model at the start of any Business Intelligence, Data Warehousing or other Information Management initiatives? Some quick thoughts on pros and cons:

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Comments (20)
In addition, business processes need to be aligned with metrics in order to be effective. In many cases, the business processes you have will need to change to align with the metrics in order to be able to utilize an analytical application, rather than having metrics defined specifically to align with your business processes if you have a custom system. Not changing business processes may significantly reduce the relevance of the metrics, while changing them introduces organizational risks. Either way, you have a potentially significant obstacle to the success of the project.
Posted by Ralph M | Tuesday, February 02 2010 at 1:19PM ET
Boris,

I agree with your post. Unfortunately some analytical vendors focus so much on their analytical model that they lose touch with the customer business needs as well as use and integration issues. The vendor cannot adequately address these issues and the result is a troublesome and isolated anayltical tool that starts the countdown to its own obsolescence before it is even up and running.

Posted by Adam G | Tuesday, February 02 2010 at 2:04PM ET
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