Self-service analytics is not all about enabling business users to create analytics, reports and dashboards. It's letting them test the value in real-life use cases and measuring what works and what doesn't.
The IT team can then incorporate these useful, valued, effective analytics in enterprise-wide BI. It's a win-win outcome for business users and IT- "Virtuous Analytics" as Brian Brinkmann describes it.
For the software vendors that OEM analytics, users can help define what should be added to the products to ensure "best-of-class functionality rather than features that nobody wants. That leads to the competitive differentiator for any software vendor so well described by Michael Locke Aberdeen Group.
" A well-conceived addition of BI capabilities makes any ISV solution more attractive and stickier. A stickier solution drives greater adoption and engagement in the underlying solution. Greater engagement drives higher customer satisfaction. Higher customer satisfaction drives improved renewal rates. and the chain of goodness just keeps going..."
Click on "Virtuous Analytics" to become a world-class practitioner
The information in the applications that has been built and widely distributed by a central IT organization, just isn’t the right information. And that’s really what the self-service analytics is meant to address. Rather than being content with the information you are given, you can now create the analytics, reports, and dashboards that you need. However, the benefits of self-service BI don’t just stop with the people using the tools. Sure, these individuals can get their answers faster, but it can also benefit the IT team that is in charge of creating that large-scale analytic application that is serves the largest number of information consumers or knowledge workers who uses the information to make decisions in their daily jobs.