Why Most BI Programs Under-Deliver Value


Business intelligence initiatives have been undertaken by organizations across the globe for more than 25 years, yet according to industry experts between 60 and 65 percent of BI projects and programs fail to deliver on the requirements of their customers.

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Comments (4)
The article is interesting, but the following comment makes no sense: "Since most of the data emanates from a foreign source, the BI software doesn't inherently know the meaning of the data. This result is data warehouse data models and BI application semantic layers that are just as challenging to understand as accessing the data from the source systems.". The whole point of mapping the sources and adding rules to integrate them is to make the data understandable and consistent. A bad semantic layer reflects a bad job, not an inherent problem of the DW solution.
Posted by Roberto M | Saturday, February 09 2013 at 10:31AM ET
Robert, I think you are making assumptions the comment doesn't share. "...the BI software doesn't *inherently* know the meaning of the data." That is some user has to understand the mapping layer, just as some user had to understand the sources to create the mapping.

Encountering undocumented or poorly documented mapping rules is as difficult to understand as your first encounter with a foreign schema.

Or are you saying a "good" semantic layer of necessity has documentation that enables understanding on the first encounter? If so, how common would you estimate "good" semantic layers to be?

Posted by Patrick D | Sunday, February 10 2013 at 1:30PM ET
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