In Alteryx Designer, what does the term "repeatability" refer to?

The term "repeatability" in Alteryx Designer primarily refers to the capacity to reuse workflows with different input data. This is crucial in data analytics, as it allows analysts to streamline their processes by applying the same workflow logic across various datasets without needing to rebuild workflows from scratch. This kind of efficiency not only saves time but also ensures consistency in the analysis performed on different datasets.

When a workflow is designed with repeatability in mind, users can easily input new data and achieve similar outcomes based on previously established logic and processes. This capability is vital for organizations seeking to analyze data frequently or wanting to scale analyses across multiple projects or data sources. The concept emphasizes the importance of building workflows that are flexible enough to adapt to varied input without requiring extensive modifications.