The Alteryx Guide for Excel Users
Working with data in Excel can be simple, but it can also be challenging and time-consuming, especially when working with multiple sources and formats of data. Data has to fit into rows and columns, has size limitations, and joining data from multiple spreadsheets requires complex formulas that leave your results vulnerable to errors. What's more, whenever your data changes, you have to repeat each step in the data prep and blending process all over again.
Alteryx takes a different approach with a workflow-based environment that allows you to prep, blend, and analyze data from multiple data sources and types, including unstructured data. And because you spend your time constructing a repeatable workflow that documents exactly how you work with data, you simply have to re-run the workflow any time your data changes — resulting in less time spent analyzing data, fewer errors, and greater consistency.
We've listed some of the most common data-related tasks that many analysts attempt to do in Excel. Alongside, we show how you would do it using Alteryx. These examples are meant to help Excel users understand how to translate their Excel knowledge into an Alteryx tool and workflow environment.
To learn more about how Alteryx can help empower Excel users, download the e-book A Radical Guide to Data Analytics Mastery for Spreadsheet Users. Then, follow along by downloading a free trial of Alteryx.