What the Doctor Ordered: Teradata Delivers Big Data Analytics in Record TimeData Scientists are sexy, but Big Data is not. It’s really just a big pile of data.

And you can get lost in it, spend lots of money trying to manage it, find insights in it that aren’t actionable … or sweep it under the rug until your CEO reminds you that it (and your employment status) is on the agenda next week.

You’re supposed to tell the board about how Big Data will provide a strategic advantage for your company in 2014.

And talking about the Big Data pilot that you ran last Spring isn’t going to cut it this time; it didn’t even pay for itself.

Instead you’re going to have to aim as high as the hype and join the term Big Data with at least half of these keywords:  make money, save money, attain/retain customers, make new discoveries, innovate new products and services ....

It’s going to take Big Data Analytics to realize those returns, but they aren’t easy either. You’ve never even heard of half of the vendors and tools available.

But whatever you promise, you’re going to have to deliver, the CMO will draw that line for certain. He’s sure he can do your job better than you. And while he’s not gunning for your title, he no longer wants to fund your department; he’ll go handle his Big Data Analytics needs on his own.

Is Dealing With Big Data Analytics All That Difficult?

And while this sounds like a somewhat preposterous scenario, the reality is, that it’s exactly what’s playing out not only on Main St and in suburban office parks, but at the corporate headquarters of Fortune 100 companies as well.

Big Data evangelists and chronicles of success stories from the likes of Netflix and Facebook have created a good number of Big Data believers and now every C-level exec wants his/her own Big Data story to tell.

And though CIOs don’t question that Big Data offers many big opportunities, the idea of doing what it takes to gain value from it is, to many of them, daunting. Some CIO’s feel almost crippled.

The Problem Isn’t Just Big Data, But Leveraging Big Data Analytics

Earlier this year Hadoop turned seven years old and there are many, many vendors who provide their own distributions as well as products, services and support around it. Anyone who has -- and is willing to -- spend the cash required to bring Hadoop on premises, or use it on the cloud, can get the resources they need to make it happen.