Digging around increasingly large datasets is not what you want your people to spend time on. It doesn't directly increase profits or speed up execution. Quite on the contrary. Executives today are swamped with information, 95% of which is noise. Digging through that noise distracts them from work, burdens their minds and clots their decision-making. That’s also why there’s such a lukewarm adoption of BI on the operational level.
So instead of focusing on the tools, we stepped back and asked our pilot customers a few daring questions. Mainly, what is the "real work" that managers do besides our beloved analytics? Is that what maximises value for the company? And why is it that BI is not helping them with the "real work" today and how could it?
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Putting The B Back Into BI
I was planning to write about putting the intelligence back into business intelligence. About making data tools smarter than 90's style drilling and 00's style charting. About massive analytics and graph DBs and dealing with big data. And how BI should be more AI. That would be my inner geek's blogpost. It would be about the promise of BI - making companies smarter through the use of data.
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