Typical support matrix for Alteryx at an enterprise level?

[zekmoe]

Is there an expected support matrix or skill set guide for supporting Alteryx at an enterprise level? How much consumption of administration time, outside of the initial install and configuration, is usually required? What degree and type of skills are needed to both support the product and the typical data scientist user base for this tool? Does it usually require a dedicated resource(s) or is it benign outside of a yearly upgrade cycle and occasional support issues?

Other products we've recently adopted have a skill support matrix but I haven't been able to locate one for Alteryx.

Thanks

[Treyson]

This is a great idea actually! 

I hate to hit you with the "it depends" answer, but really... it depends. 

What sort of deployment are we talking about? Are you using the server to schedule business critical repetitive functions or are you just using it as a place to deploy tools your data science team is creating? What does your current user knowledge base look like? Updates are released quarterly and right now there are lot's of new features being tested, so you may be interested in doing it more often than quarterly. and the list goes on...

So, maybe a next step in better answering this question for you is to shed a little bit of light on what that deployment would look like?

The only thing I can for sure say is that, having a solid foundation of the tool is important. When you are talking about high process volumes, seconds count. It's great to be able to look at a workflow and see where you can shave time by doing things differently. An understanding of how to manage macros is important as well, however that will be learned quickly if you don't have that skillset available.

Other questions would be, are you looking at adopting Connect or Promote?