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As we approach the call for speakers deadline for Inspire Nashville, I thought it would be fun to capture some of the community's ideas for breakout sessions!
To kick things off, here are some topics/themes we've been thinking about...
How you’re up skilling yourself into a “citizen data scientist”
Predictive models you’ve built in R and are repurposing inside Alteryx
Showcase the innovative ways you're using Alteryx in your department (Supply Chain/Operations, Marketing, Sales, Finance, IT, HR)
How you’re using the new Python SDK
How you've embraced new platform capabilities, like Alteryx Connect or Alteryx Promote
Do you use Alteryx for fun? Sharing your clever uses of the platform would make a great session ;-)
Remember, your community of peers is here to support you with whatever you need to take your well deserved place in the spotlight. You might have a general theme in mind, but want some help fleshing out the details prior to submitting, or maybe you'd be more comfortable getting up on stage with a like-minded data enthusiast... Please feel free to use this thread as a sounding board.
Whether you already “submitted your demo tape”, are interested but aren't quite sure what to talk about, or simply want to inspire others with your brilliant ideas — we'd love to hear from you!
Leah Knowles Manager, Global Community Engagement Alteryx
I responded to the call for speakers with my story called "Kick Starting Analytics at the Utilities with Alteryx and Tableau". I just realized I didn't mention the main draw of the session. I plan to show how anyone can use the R-tool in Alteryx to generate a multivariate statistic to quantify how rare an observation is.
For example: revenue missed forecasts this month. Why? Well let's look at a simple table populated with fields that impact revenue: customer counts, weather, etc. Alone we can't quantify or isolate the cause of the revenue deviation but using a simple trick in R/Alteryx and color coding in Tableau we can pin point exactly what causing our revenue variance.
Very basic statistics and R experience is needed and every industry can implement this strategy.