Alteryx Inspire 14 Influencer Summit – A panel of experts

The summit continued with a group of newly certified Alteryx Analytic Certified Experts – ACEs. As always with a panel I will just try and capture a few nuggets in no particular order or structure: The combination of Tableau and Alteryx, in geospatial analysis for instance, is more powerful than either independently. In particular Tableau benefits from the data blending capabilities…

Alteryx Inspire 14 Influencer Summit – A panel of experts

The summit continued with a group of newly certified Alteryx Analytic Certified Experts – ACEs. As always with a panel I will just try and capture a few nuggets in no particular order or structure:

  • The combination of Tableau and Alteryx, in geospatial analysis for instance, is more powerful than either independently. In particular Tableau benefits from the data blending capabilities of Alteryx.
  • “Win” on day zero with an ability to get benefits from Alteryx almost immediately – creating something valuable without a big upfront cost. It’s got a lot of capabilities but it is focused and easy to learn.
  • Iteration is central – can get started quickly with a simple solution and then iterate and improve it quickly. A more agile, iterative environment.
  • The users are business people, business analysts, not IT people.
  • Alteryx replaced a whole bunch of code-centric products with a single, code-free environment.
  • They find Alteryx very intuitive to use, easy to learn by doing.
  • Very high ROI – 100x from one for instance.
  • The transparent (and lower) pricing helps reduce red-tape, speeds approval and makes it easier to get started.
  • As a consultant, one finds that an initial meeting is enough to get solutions to real problems developed and prove the value.
  • It should relax – while Alteryx does allow business users to work around IT they are, in fact, already doing so and Alteryx makes it quicker, easier and better documented.
  • Some IT organizations are starting to become drivers for adoption as they seek out new tools to empower their business users.
  • Most of these projects are not using “Big Data” but pulling together several data sources for rapid value.
  • No sense that Alteryx’s technology has limitations – projects working with large number of rows (millions or even billions of rows) work fine with hardware limits being hit first.
  • Even if the desired solution is not a good fit (real-time decisions say) it is often effective to prototype in Alteryx to see how to it should work.

Great panel – clearly believers in Alteryx with lots of positive results between them.

Cross-posted from JTonEDM.