Decision Driver for e-Business Intelligence Suites (EBIS)
Organizations today are implementing business intelligence (BI) solutions to improve access for their enterprise knowledge workers to historical archives of data for analysis. BI is the modern day equivalent of yesterday's decision support systems, which enable decision makers to gain insight into past business patterns and behavior by studying data with reporting, ad hoc querying and multidimensional processing tools. The Internet has inspired organizations to re-engineer their decision support infrastructures so larger constituencies inside, as well as outside, the enterprise are fundamentally enabled with the analytical report and ad hoc query capabilities of BI suites.

While the purpose of implementing BI suites is relatively straightforward, the task of selecting the best solution for your organization is more complicated. Project teams are usually faced with having to consider a wide array of innovative solutions that dot the market landscape against a seemingly infinite diversity of end-user preferences and requirements. The assessed fit can often times be speculative, and does not necessarily ensure that the BI solution will robustly adapt and scale as business needs evolve. Furthermore, the future direction of the BI marketplace is uncertain as a plethora of projections reveals fragmentation in the landscape. The only thing for certain in this uncertain environment is that tomorrow's BI marketplace will dramatically differ from today's, and that organizations should perform thorough due diligence to assess long-term compatibility when selecting a BI suite.


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