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Posted by Boris Evelson on October 6, 2008
Most modern large enterprise Business Intelligence (BI) tools are very robust and feature rich these days. Up until a few years ago BI users could blame vendors for most of their BI ills. This is getting harder and harder to do. Many of the BI tools, especially the ones reviewed in our latest BI Wave, are very function rich, robust, stable and scalable. However, while the tools have really improved for the better over the last 5, typical BI issues and challenges remain the same as when I first tackled them as a BI programmer over 25 years ago: silo’d implementations, incomplete data sets, dirty data, poor management and governance, heavy reliance on IT, and many more.
We are right now in the middle of running a BI survey, exploring these and other BI issues. While the results are still pouring in, the preliminary findings are 100% supportive of the evidence we’ve collected qualitatively and anecdotally over the past few years:
At the risk of repeating myself, I will state again, that over 90% of these problems are not due to poor technology, but rather due to the lack of business ownership and governance, cross LOB and departmental coordination, agreement on metric definitions and priorities, and integrated master data and metadata processes and architectures. However, even though the remaining 20% of impending technology improvements is relatively small compared to the organizational and process challenges, these 20% potentially hold a huge promise to make BI tools, and applications much more powerful.
I am currently tracking over 20 (!) impending significant, and potentially market disruptive, next generation BI technologies. Watch for my Q1 ’09 document describing these trends in detail, but the future of some of these products is actually here today! Here’s a little taste of the 5 technologies that are out there right now:
Add to all that another 15 or so new approaches to traditional BI that many mainsteam and small vendors are beginning to roll out, or working hard back in their R&D labs. I don’t have a crystal ball, but if I were a betting person, I would bet that BI applications will look and behave completely differently in 2 years. Who ever said that BI market is mature?
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