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How to build the world's biggest private BI cloud
Delaney Turner 270002T14M firstname.lastname@example.org | | Tags:  system_z cloud_computing business_intelligence
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My last content preview for the IBM Cognos Leadership Forum for Transformational IT (which was also my first content preview), highlighted a new paper on the respective pros and cons of the "silo" and "big bang" approaches to BI deployment.
This installment highlights a definite Big Bang. Specifically, it's an on-demand Web seminar looking at IBM's own deployment of its own business intelligence software running on its own system z to improve its own performance.
You might call it a "Big Blue" Bang.
This Web seminar features IBMer Larry Yarter, the chief architect of IBM's own Business Intelligence Competency Center (BICC). In 30 minutes, he walks through the rationale, the business case and the expected benefits of building the world's largest private BI cloud. Dubbed "IBM Blue Insight" by those much closer to it than I, this mammoth project will consolidate 20-plus BI installations and draw data from more than 60 internal sources to deliver business-critical information to an eventual user community of more than 200,000 IBMers around the world.
Oh. And it will also save the company $25 million over 5 years.
As with most things IBM, the numbers being tossed around are truly staggering. But what was really surprising about this presentation was the utter familiarity of the rationale to standardize on Cognos BI - specifically, to increase the business value of the data, allocate IT resources more effectively and achieve significant cost savings. They're the primary reasons why most companies pursue BI standardization.
It's a pretty rich presentation with plenty of detail into the project plan, business case and the expected benefits. If your BI deployment is headed for the clouds, I strongly recommend giving it a look.