When I assumed the role of chief evangelist for Incorta, I imagined I’d spend my days helping really smart people apply our analytics platform in new and creative ways to address their business challenges, and pontificating about what the next wave of modern analytics will look like. I do these things, of course, but I also spend a great deal of my time educating these same really smart people about what self-service analytics is—and what it is not.
Thanks to a myriad of analytics vendors blowing the “self-service” horn—most of whom only offer visualization or dashboarding capabilities that still require a great deal of support from technical resources—people are confused about what “self-service analytics” really means. And I don’t blame them.
But it’s time to clear up the confusion. It’s time to understand what true self-service analytics looks like, so you can spot it when you see it—or smell a rat when you’re pitched technology that doesn’t measure up.
Here it goes.
An analytics tool is NOT really “self-service” if:
Some of these statements might surprise you. But self-service analytics isn’t just the capability of “Can I use a tool to get something?”
True self-service analytics is “Do I have data that’s meaningful? Do people engage with data that’s meaningful?” After all, people can make an informed decision that’s wrong if they based it on inaccurate or incomplete data. And the ability for a user to build their own dashboard isn’t that useful if the dashboard presents info that’s an abridged version of the truth—or downright inaccurate.
That’s why we at Incorta want to help our customers make “smart” decisions, not just “informed” decisions. And that’s why we developed a revolutionary new platform that delivers true self-service analytics—one that gives you all of the self-service criteria in the list above that the others do not.