Formula filtering and sorting by the number of groups (N).

1. Code-Free (or Code-Friendly) Data Prep The visual drag-and-drop workflow builder is really the standout feature. It lets you blend data from very different sources—an old Excel sheet, a SQL database, and a cloud application API—by connecting visual icons (tools) with arrows. The impact is immediate: instead of writing hundreds of lines of complicated SQL or Python just to handle null values and join tables, you can simply drag in the "Filter" and "Join" tools and connect them into a clean flow. And if you do want to code, you’re not boxed in. You can drop Python or R blocks right into the middle of the visual canvas and keep everything in one workflow. 2. Radical Time Savings & Automation Work that normally takes hours or even days each week—like pulling regional sales reports, cleaning them up, and matching them against master data—can be fully automated. After you build the workflow once, rerunning it with fresh data is basically a single click. For recurring enterprise reports, it turns grueling manual data-wrangling into a background process you don’t have to babysit.

I like that Alteryx makes data preparation and automation much easier. Its drag-and-drop interface saves a lot of time, reduces manual work, and lets me focus more on analyzing data instead of cleaning it.