I have been attending BI and SOA conferences for years and found that the language used at each was different.  Lately though, there has been a convergence of the language used because of the realization that both start from the same requirements – the ‘business architecture’. Business intelligence enlightens an organization about Information but it has to be relative to the business process à Statistics (why things are happening), Trends and Forecasting / Predictive Modeling (what will happen next and will it continue) and finally Business process optimization (what’s the best that can occur) all require an understanding of the data in context.  Most BI solutions or data warehouses are information integration solutions that bring together disparate information sources into a single well documented solution (with metadata) and are often updated daily. A BI solution requires a managed information architecture / environment which includes:

Not all BI solutions require or use a single integrated information source. An example of this is an organization that utilizes an ERP (like SAP, Peoplesoft, etc.) – although, they may still wish to develop customized reports using a BI package.  Go figure… Services based architectures (including web services) required that we break the solution or application into small business chunks [UoW] that support the processing of these services.  Information about the processing becomes a natural output of this and this information occurs and is collected in real-time. Building Services Oriented Architectures [SOA] also required managed information architecture environment which similarly included:

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