This session is brought to you by Joshua Burkow and Chris Goodman who are both Alteryx ACEs and co-authors of the popular Alteryx Blog www.AlterTricks.com. If you like many others have been trying to master all the individual tools in Alteryx and its felt a lot like climbing up a hill in a snowstorm during an avalanche then you are at the right session! Join us as Joshua and Chris walk you through how thinking about design patterns and shifting from a developer mindset to an architect mindset can be used to improve the repeatability and effectiveness of your workflows and take you into the stratosphere of expert level Alteryx!
RegEx questions abound in the Alteryx Community. So how do you know when to use RegEx and when not to? Plus, what resources and learning tools are available? This session explores this age-old question and gives you practical advice on when to use RegEx.
This session features a demonstration on how you can use a few basic interface tools to create a user-friendly app that will build out a customized SQL query based on the user’s app selections — great for those who are looking to provide “no-code” options for end users to query the data they need from your organization’s databases!
While the Alteryx Server Usage Report that can be downloaded from the Licensing Portal is a treasure trove of information for Server Usage, sometimes you just want something short and sweet with minimal overhead (for both processing time, resources, and output storage). See how to use the Mongo Input tools in a scheduled module to pull and store Gallery App usage information (app name, run length, run end time, user, and user entered app interface values). Because users can delete their app results, and because you may have your Server set to erase app results on a regular cadence (like every 30 days), it’s important to pull the app results info often. The low-overhead module can run every five minutes. The results can be queried and reported on. The end result is an on-demand report that you can run in the Gallery. It compiles all the app information for apps that have run and presents that information in a consolidated way. Some advanced tools used: • Mongo Input • JSON Parse • Service Data Parser Macro • Reg Ex tools (including XML Parse Tool)
Efficiency in reporting is the name of the game! Join Signet Jewelers for this overview/training of how they implemented reporting tools in Alteryx to gain efficiencies in their documentation and mapping, freeing up talent to work on more valuable tasks. This includes publishing analytical apps on the Alteryx Server, an overview of the traditional reporting and mapping tools, and examples based on new features like Visual Layout and Mapbox integration. These tools are too powerful to ignore!
Join 2 Alteryx ACEs (Esther Bezborodko and Joe Lipski) for a fast-paced exciting session of tips & tricks, shortcuts, timesavers, performance improvements and more. Anything is game, but the clock is ticking, can they beat their target of 40 tips in 40 minutes? Regardless of your skill level, you're sure to learn something new!
Stop repeating yourself and make the process into a macro. But which one is best to use? What makes a good macro? Learn more about each of the 3 main types of macros while focusing on when to use each. Also learn a few tips to up your macro game.
Learn about the landscape of free spatial data sources available on the web and an explanation of how to access and consume them. This will start with public domain data available from US federal, state, and local sources. This session will also discuss a set of macros written by the presenter that scrape web map sites for data that is viewable/searchable but not published as complete datasets (e.g., property parcel data). The macros discussed will be available for download after the session.
Everyone using Alteryx Designer will inevitably encounter errors. Error messages give us data — and that data is useful! This session discusses how to get the most use out of error messages to improve processes and avoid unintended outcomes with defensive design.
In retail, there are two giants trying to drive sales: the physical stores and e-commerce. Each has their own datasets that they're able to collect from customers, but which one will win in the end? We'll take a deep dive into the types of analysis that you can conduct using Alteryx Predictive tools to see if there are any cracks in either of these dataset levees. By the end of this session, we hope you will have some predictive ideas of your own.
AI made easy! Level up your skills and find out how to pull the good stuff out from all your unstructured data. In this session, learn how to use Alteryx to transform your work with an AI-assisted advantage.