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Quick note, for your reference

Hi Russell,
Just a quick note, your linkedIn profile link on the page should be The generic profile link which you’ve used always links to the viewer’s profile, not yours e.g. if I click on it I get my profile, which I’m sure is not what you intended.

Best regards

– Philip O’Brien

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SAP BusinessObjects BI Solution Architecture

If your Business Intelligence initiative or program is struggling it may be because you do not have effective BI Solution Architecture in place. BI Solution Architecture involves far more than just understanding a technology product stack. As its name suggests it is by nature a solution and it encompasses Business, Information, Application, Infrastructure, Data, Integration, and Service Architectures.

In this new video I show you how to design Business Intelligence Solution Architecture that will make your SAP BusinessObjects Business Intelligence initiatives successful. I use SAP BusinessObjects as my example but the concepts are actually vendor agnostic so you can use the ideas with numerous BI and data technologies.

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Business Intelligence Architecture

Architecture that stands outCreating BI Architecture That Stands Out

In essence Business Intelligence is about taking raw data and turning it into information and then using that information to do intelligent business. The process of both transforming the data and consuming it as intelligence occurs in the BI system. The effectiveness of the BI system is dependent upon the quality of the overall BI architecture. Planning the BI system architecture occurs very early on and there is an art to getting it right. BI System Builders recognise that it takes wide and in-depth knowledge and experience to effectively make consideration of the full BI system in the early design stage of the Business Intelligence architecture. At this very early stage thinking may be embryonic and the components do not yet physically co-exist in the system. The skill set to visualise at this level can be sparse on the ground but the failure to do so can lead to consequent sub-optimal BI systems being developed. At their worse these BI systems run the risk of becoming expensive white elephants. They have taken a lot of effort and budget to implement but in the final analysis the end user community cannot access the critical information that it requires.

So what are the key areas at the macro level that constitute the Business Intelligence architecture and hold interdependencies?

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