This was announced in Tableau’s newsletter that was sent on 8/14/18. Our presentation is the first one listed under the Analyst section. You can watch the presentation on Tableau's website or embedded below. There are photos from the presentation on this post.
A blog about Data Visualization, Data Science, and work by Alex Katona. I'm passionate about advancing the field of Data Science. I use this blog to share my ideas, projects using various technologies (Tableau, D3.js, R, Python, etc.), and connect with others. I've been internationally recognized for my work from companies like Forbes, Kantar, and Tableau.
Showing posts with label Tableau Conference. Show all posts
Showing posts with label Tableau Conference. Show all posts
August 15, 2018
Best of Marketing Dashboards by Tableau
Tableau compiled the best presentations of marketing dashboards from their customers and the dashboards that Tony Valeriano and I created for our Tableau Conference 2017 presentation made the list!
August 1, 2018
Tableau Conference sessions now available on YouTube
The Tableau Conference sessions where my work was presented are now available on YouTube. There are photos from the 2017 presentation on this post.
2017 session where I presented titled “Macy’s: Cracking the code of A/B testing and market basket analysis”:
2015 session that my manager presented titled “Making Data Visualization Actionable at Macy's”:
2017 session where I presented titled “Macy’s: Cracking the code of A/B testing and market basket analysis”:
2015 session that my manager presented titled “Making Data Visualization Actionable at Macy's”:
October 16, 2017
Tableau Conference 2017 Presentation
Thanks to everyone that attended my presentation at the Tableau Conference 2017 and watched online The presentation is now available on YouTube and the dashboards in this presentation were selected by Tableau as some of the Best of Marketing Dashboards across all of their customers!
I included some pictures below (click to expand):
I included some pictures below (click to expand):
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