Enterprises looking to scale the benefits of their analytics programs are frequently looking to self-service options. Equip business users with the tools they need to get their own insights, whether it's dashboards, reports, or something else. Set up a system where these users are empowered to leverage the organization's data without needing to go to a data scientist or IT.
There are plenty of good reasons to pursue such a strategy. The data science talent shortage is a big one. Self-service analytics promises to alleviate the stress of that shortage by bringing insights and tools to the masses and removing the bottleneck of requests for tasks that can only be performed by rare and highly-paid data pros.
But putting the tools in place is just the first step, and it doesn't guarantee success of a self-service analytics program. The truth is that "analytics" can be a scary word to some people in the business domain who don't have a background in math or statistics. They may be intimidated by a new tool that at first glance looks complicated and unfriendly. They may prefer to make their decisions the way they always, have -- with their gut, or maybe with their own personal Excel spreadsheets.
So how do you spread analytics benefits throughout a user organization when users may be reluctant or resistant? Is there anything you can do beyond creating a center of excellence? Organizations are employing several tactics to encourage users to try self-service analytics tools, and we heard several of these at the Gartner Data and Analytics Summit 2018 in Grapevine, Texas this month. Here are six things you can do.