Alteryx is a great tool that allows you to easily and quickly cleanse, transform and analyze data. As a user, you don't have to code. This allows many different users, from beginners to experts, to reach insights. Moreover, the process can be much faster and more efficient than, say, with Excel or any other tool. If possible, you want to standardize and automate analyses and processes. You can do this by making a workflow in Alteryx dynamic. In this article, we will discuss the benefits of dynamic workflows in more detail.
Automation
With a static workflow, you have to make manual adjustments before you get the desired result. For example, you can think of having to select a new file each time that you are going to transform, such as a CSV file with this month's sales. Adjustments you have to make to tools so that in the workflow the correct columns are edited. But also renaming the file you're going to save, to the current month, or with the partner's name. Dynamic workflows automate this process, which of course saves a lot of time. This often also gives the ability to schedule a workflow or process on the server.
Better results
By automatically selecting the right files, validating, cleaning and writing the data to a location, you avoid "human" errors. Mistakes that are often made when there is a rush, when the work is difficult, or when tasks need to be repeated often. Dynamic workflows automate these tasks. This reduces the risk of errors and improves data quality.
Scalable
Dynamic workflows are scalable. In fact, you can easily process multiple files, use different sources, or edit larger data sets. This has the advantage that you can more easily and quickly edit large amounts of data, often without having to make adjustments to your workflow.
Conclusion
As you can read, dynamic workflows in Alteryx have many advantages over static workflows. They save time, improve accuracy and help transform more data. Want to learn how to make a workflow dynamic? Then quickly read one of my other blogs on dynamic workflows.