What does the Window function accomplish in data analysis?

The Window function is a powerful feature in data analysis, particularly when working with large datasets in tools such as Workday Prism Analytics. Its primary purpose is to perform calculations across a specific set of rows that are related based on certain criteria, without collapsing the rows into a single summary. This means that while you can calculate running totals, moving averages, or rank data, each individual row retains its original details, allowing for more nuanced insights into the data.

This function allows analysts to utilize a defined window of rows that may be related to the row currently being evaluated. For instance, calculating a cumulative sum across a time series helps provide context to trends without losing individual data points. Thus, the Window function gives a clear and structured approach to examining data within its immediate context rather than simply summarizing it all, leading to more informed decision-making based on new, layered insights derived from the data analysis process.