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My nearly twenty year perspective on BI

Are you selling or implementing products from major vendors but still not getting the information you need ?

Did you know that’s been a common complaint for nearly twenty years, back when BI was just taking shape. 

If you've been holding your breath waiting for something to come, I suggest you stop.  Nothing's coming from that direction. They’ve even forgotten that’s what the problem is.  Their big claim (now) is: if you can share something, then that's BI.  In other words, take what you get, share it, and be happy. Oh yes, and their prices went up 10% again this year.

 

I remember 1991.  It was a time of innovation. Fun times. Every six months, you’d look at your competition's new release, and deliver a feature set fifty percent more than they had. Then they’d do it back to you.   Then in 97, the market decided it was ready to call itself mainstream and aggressive releases became the enemy.  Growth was achieved by labelling emerging un-named markets as “BI”.  That was how they grew and customers bought more and more products, loosely called BI.  A supporting view can be found in an article by Gabriel Fuchs of DMreview.com.

BI companies gave up trying to innovate on data analysis long ago. Their core data analysis, their raison d’etre, was history and people forgot to ask it of them. Founding teams were decimated by mainstreamers and stock option funded early retirement (except for a few workaholics, no names mentioned). 

But then, this year it happened again, on a more gargantuan scale. The mainstream were eaten by the mainstream.   Large players were aquired by larger players. 

Is this the decay of a market, live and real-time?  I think yes. 

Why? Once a market loses it’s core focus two times over, that's gotta be the death knell.

When I googled to see what other people thought, somebody with as long a history in BI as I have popped up with an insightful blog. He seems to agree with me, albeit based on different observations in a blog posting of his. See Dave Kellogg's Blog on the subject.

So, what comes now?  The underbellies of the giants are exposed. They’ve lost their focus, and even if they didn't, they long ago put their innovation in the closet or out to pasture.

But the pendulum swings, the time of innovation is arriving.  Am I sounding like a Lord of the Rings narrator?

What’s the driving force?  The answer: Customer demand!  Customers haven't forgotten they need data analysis!  What's the point in "sharing" data if it isn't yet processed enough? Sharing unprocessed data just makes more work, and introduces risk and expense to any workflow.

Innovative customers, the ones who want to win in their own market, are tired of this not getting the data processing (aka information) they need.

Sooner or later they'll recognize it ain't coming from the big guys.  They'll look outside the box and find the technology providers who are innovators.  

Quoted in an article by Antone Gonsalves in Intelligent Enterprise, the research firm Gartner says:

Five emerging,technologies will be instrumental in making it easier to build and consume analytical applications with less involvement from IT staff, a research firm says.

The technologies expected to breakdown today's hurdles to wider adoption of business intelligence include interactive visualization, in-memory analytics, search integrated with BI, software as a service and service-oriented architecture, Gartner said in a report released this week. These innovations will be in a position by 2012 to take BI well beyond the 15% to 20% of businesspeople using it aggressively today.

nextanalytics is one of those categories: in-memory analytics.  Notably, Gartner also said:

"In-memory analytics is emerging as an alternative to IT staff building aggregate and summary tables to optimize BI on disc-based data storage, a scenario that impedes rather than foster self-service BI, Gartner said. With in-memory analytics, IT staff doesn't have to build a performance layer for business users. Also driving the trend is falling memory prices and the prevalence of 64-bit computing. "

We think we do a pretty good job of in-memory analtyics.  If this is an emerging technology, then we're "stoked!" 

In general, all this summarizes great news for the BI industry. It means not only us, but there are all sorts of startups who base their offering on innovation waiting to be discovered.  I think we're getting back to the exciting times of 1991.

ward yaternick is the Founder and CTO of nextanalytics corporation

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