Big Data and Business Intelligence

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The stand out talking point of 2012 was surely the rise and rise of interest in Big Data”.

So what is Big Data?

According to Wikipedia:

In information technology, big data[1][2] is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.

Over the last couple of months I've given a few presentations to Finance people about emerging trends in Business Intelligence.  As a former finance guy, I want to give you guys a reality check.

Big Data is definitely a real thing. In the context of Business Intelligence it's a little foggier.  As BI specialists, we work in data sets that are big, small, and in-between every day.  The objective doesn't change just because we are working with Big Data.  Big Data applications help people isolate actionable meaning from huge data sets in ways that are as natural as possible, just as today's BI applications do.

In the CALUMO world, there just aren't too many organisations facing real Big Data analysis problems. For most business people Big Data isn't a problem, despite what large vendors' marketing and sales teams would have you believe.  Producing meaningful information that people can consume, understand, contribute to and act upon is more challenging by far. That challenge has been around since business began.

Albert Einstein summed it up well when he said

Not everything that counts can be counted and not everything that can be counted, counts”.

The age of Big Data” has given us more and more things to count, but that shouldn't change our focus from what really matters and knowing what to do about it. For that we need human traits, not technological innovation, although great technology, like CALUMO, can help.

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