Category: Minnesota (Page 5 of 6)

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How does one assess the landscape for an exploding technology category like marketing analytics? There’s so much confusion and hype around the topic. You’ve heard it all — too much data, we’re drowning in it, woe is us. And, along with that, too many vendors trying to sell us the latest cure. First we were shocked to hear the number of vendors was 1000, now we’re told it’s 2000! The argument that all these vendors create too many data silos is now a refrain we’re hearing more often. Hard to argue with that.

With such high numbers of players comes confusion, and complexity.

But it begs the question: how in the world do you unify all your marketing data to understand it and gain a competitive edge for your organization? Will a platform or single vendor solution emerge? Some of the big players like Oracle, Adobe, and Salesforce are certainly trying, opting in a big way for buy vs. build. (These three have led a frenzy of acquisitions in the marketing technology space.)

Yet significant roadblocks still exist to widespread adoption of marketing analytics in business today — and for companies to extract real value from it. The lack of data science skills we’ve all heard about by now till we’re blue in the face — it’s the “sexiest job title in the country,” blah blah blah. Big shortages, universities scrambling to launch graduate programs, etc, etc. But should  this technology really require a PhD in every marketing department and agency in the land? That simply doesn’t compute! Why can’t there be more solutions, more tools, that marketers and general business folks — regular Joes and Janes — can use? Why does it all have to be so complex?  Continue reading