Sales forecasting and direct mail optimization with Revolution R Enterprise and Alteryx

February 17, 2014
By

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

If you missed our recent webinar Creating Value that Scales, you missed out on a live demonstration of the big-data analytics of Revolution R Enterprise embedded in the drag-and-drop visual workflow interface of Alteryx. 

 

If you want to see how a decision-maker can use the results of workflows created by data scientists, skip ahead to 25:45 to see a demo of a simple web-based interface for creating a sales forecast by store and by product (using the R "arima" time series forcasting function in the background). Or if you'd like to see the Alteryx Designer in action, skip ahead to 34:44 to see how to create an Alteryx workflow to optimize a direct mail campaign using the big-data regression capabilities of Revolution R Enterprise.

You can also download the slides and video from the webinar at the link below.

Revolution Analytics webinars: Creating Value That Scales with Revolution Analytics & Alteryx

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)