What type of data would you store using a local data source in a purchase request scenario?

In a purchase request scenario, using a local data source to store reference data for priority options is effective because reference data typically remains static or changes infrequently, making it ideal for local storage. Priority options, such as low, medium, and high, are predefined categories that can be utilized across multiple cases without needing constant updates or external calls.

Local data sources are best suited for data that needs to be quickly accessible and doesn’t require frequent changes. Reference data like priority options provides standardized values that can enhance user experience and improve the speed of access during case processing. This type of data can be effectively cached and easily manipulated on the client side, avoiding unnecessary round trips to a remote database or service.

In contrast, dynamic customer information is prone to frequent changes and would typically rely on external data sources to ensure up-to-date accuracy. Individual purchase item details can vary greatly and require more comprehensive data management, likely needing a more complex handling than what a simplistic local data source can provide. Overall case data would also be more extensive and dynamic, involving the need for a robust system to track changes and updates, which further aligns it away from local data sources.