A colleague of mine heard me tell this story recently. It’s a story I’ve told countless times, but never put on paper. I’ve told it in keynote addresses, one-on-one with customers, and others have adapted it for themselves. But this is the original story. This is the true story. This is a powerful story. This is a personal story. As of this writing, the actual event occurred five years ago, the last week of August. It’s story about IT, Lines of Business, Analytics, and Data. This is a story about one man's visit to a grocery store.
The Visual Layout tool which we showed off at the Inspire Product Keynote will be shipping in the Lab in 11.3! Check out this article to get a rundown on the new tool and where to submit your feedback.
Mateo, Manny and Vinh are planning a Foodcation! Follow the conversation as they use Alteryx to combine, calculate, analyze, and predict where the ultimate Foodcation destination can be found. Then use the same data but with your own rankings and priorities to find the perfect spot for your next trip!
Manny and I want to go on a Foodcation, but how are we going to pick the best city to visit? We have to consider Manny’s city ratings and vegetarian demands, my inability to stand in a line, and the anti-car sentiments of a last-minute tag-along to our trip. Only one analytics program can help us crunch the numbers and select our destination… Check out the Alteryx solution developed with the help of the Denver User Group Grand Prix team and some adroitly deployed macros, the Spatial Info tool, predictive grouping, heat maps, Throttle, a Weather Underground API, and more!
With the release of Alteryx Analytics 11.0, there were many changes to bridge the gap between self-service analytics and data governance. For many users, they may stumble across features as they experience them, while others are excitedly scanning the release notes.
Many if not most supervised-classification problems involve some degree of class imbalance, where at least one class occurs more frequently than the others. The imbalanced-classification problem illustrates the value of approaching data-science problems as empirical (as well as formal) optimization problems, using techniques termed cost-sensitive learning. This post will show you how to do cost-sensitive binary classification.
I love building Alteryx workflows. I love working for Alteryx. I cannot begin to describe how much I loved doing this project for Luvin Arms. Their use case was so simple, yet without software – so overwhelming.
Alteryx has a lot of built in functionality, but the ability to leverage custom R code opens up even more possibilities. After reading an answer on the Alteryx Community many months back, I was inspired to try and integrate Google Charts into an Alteryx workflow by using the R tool.
Most real-world data-science design patterns combine several models to solve a single business problem. This post surveys the most common and effective techniques for combining models. Once you make it through this post (and its predecessors), you'll be ready to take on the design patterns we'll begin learning in 2017.
Cross validation (CV) is a difficult topic. There are many ways to do CV, and articles on the subject can be very technical. This blog post is a gentle introduction to CV. Read it and you'll find it much easier to understand later posts describing data-science design patterns that use CV.
If you’ve arrived on this blog post, odds are you have aided Santa a third time in his trip around the globe in Week 3 of the Santalytics challenge - an inclusive, non-denominational, festive excuse for some friendly competition using Alteryx. You’ve also tackled yet another logistical nightmare for Santa with sheer Alteryx might, and identified opportunities in his data to help make the spirit of giving go even further this year. No doubt an impressive feat, and one that will be rewarded with a timeless Community Cold Weather Kit that will have you prepared to brave the coming winter season in peak fashion. Be warned in advance, you will make a lot of folks jealous this holiday season.
That’s right, we are officially one week closer to Santa’s arrival. If you’re reading this blog post, then you have participated in the second of four exercises that will constitute the Santalytics challenge - an inclusive, non-denominational, festive excuse for some friendly competition using Alteryx. You’ve also solidified your claim as Alteryx pro in your quest to help Santa and acquire timeless Alteryx swag by knocking the dust off of your Spatial Toolset to solve one of the more difficult optimization problems of the year.
If you’re reading this blog post, then you probably participated in the first of four exercises that will constitute the Santalytics challenge - an inclusive, non-denominational, festive excuse for some friendly competition using Alteryx. It also means your spot on Santa’s nice list is secured AND you’re going to be both warm and stylin’ this winter season in your Alteryx swag. That is, if you’ve successfully been able to use Alteryx to improve the elves’ situation from last year...
A customer recently asked how they could read in multiple files all at once from their HDFS server. The answer? Make a Macro! See how it's done and get a few nifty utilities to add to your bag of tricks.
The nature of working in Customer Support is that you’re always talking to people. But whether we're chatting with team members, fulfillment techs, product managers, quality engineers, software developers, solutions consultants, solutions engineers or account managers, the customer is always the center of what we do.
Alteryx isn't just a tool, it's a platform. We'll explore this, Halloween style, using Python in a Jupyter notebook to connect to an Alteryx application that performs demographic clustering for candy sales data.
How does governance work in Alteryx? From data access and data management, to data security, we've got the answers to your most pressing questions on how to best govern your analytic applications in Alteryx.