What is one way to utilize non-keyed data pages effectively?

Utilizing non-keyed data pages effectively involves their primary ability to provide data that is not dependent on the specific context of a case or a unique key. In this context, the option related to displaying aggregate data without specific criteria is particularly relevant. Non-keyed data pages can hold and present data that summarizes information across many instances rather than serving a unique user or case function.

For example, if an application needs to show statistical or total values from a set of records, a non-keyed data page can aggregate this information and present it without requiring a filtering mechanism based on unique identifiers. This is ideal for scenarios where the focus is on trends, averages, or overall metrics that can assist users in making data-driven decisions without getting bogged down by case-specific details.

In contrast, options like focusing on unique transactions, defining user access, or creating complex case flows involve scenarios that benefit more from keyed data pages, where context and specific data retrieval based on unique criteria are critical. Keyed data pages are designed for such needs, providing targeted data for individual cases or transactions, thus reaffirming the capacity of non-keyed data pages to serve a distinct purpose when handling broader datasets.