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Guest View: Business Intelligence in the Age of SOA


By Charles Nicholls
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December 15, 2007 —  (Page 1 of 4)
History shows that wherever there are software applications, business intelligence follows. It used to be possible to link BI to a database or data warehouse in order to analyze company performance. Companies would, and still do, try to shuttle increasing volumes of information into data warehouses, and then extract it for analysis.

Getting data into and out of the data warehouse turned into a complicated chore in its own right, but in the past few years, it’s become overwhelming as applications have proliferated and become more sophisticated. Most businesses recognize that they need to analyze this information if the best decisions are to be made, but are still applying retrospective BI technologies and approaches to the problem.

The most elemental challenge to traditional BI is the requirement to analyze data as part of a business process, not simply to report on it after the fact. In order to build BI into processes, BI needs to be real-time. This represents a seismic shift for an industry that runs on batch updates.

The old architectural approach to BI—adding it after applications have been built and focusing it on the database or data warehouse—doesn’t make sense in an event-driven world. At the same time, those events, in a service-oriented architecture (SOA), represent an unprecedented opportunity for analysis and action.

Faster Isn’t Fast Enough
The new approach to BI is enabled by the flow of data through applications and middleware. This means that companies building a SOA can benefit from determining now how BI can help them get the most out of their investment. Indeed, companies have to add BI to SOA—it simply becomes a question of how and when they’ll do it.

The traditional route to BI is database-centric and focuses on giving companies dashboards for looking at information once it’s made its way into the data warehouse. But data warehouses are out of date. Extracting, transforming and analyzing information that’s even hours old doesn’t tell the company what to do right now.




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