Which aspect of requirements defines the logical rules for transforming data into information?

Process requirements are essential because they specify the logical rules and procedures that dictate how data is transformed into information. This includes the methods and operations that the system must perform to manipulate and process data effectively. By defining how raw data should be processed, these requirements ensure that the information generated meets the needs of the users and aligns with the desired outcomes of the system.

In the context of system analysis, understanding process requirements is crucial as they guide the development of algorithms and workflows within the system. They help developers and analysts to create processes that accurately implement business rules, which in turn impacts the accuracy and relevance of the information produced from the underlying data sets.

While data requirements focus mainly on the type of data needed, system requirements encompass various aspects of the system's capabilities and performance. Functional requirements detail what the system should do, including specific behaviors and interactions, but it is the process requirements that specifically highlight the logical transformations necessary for converting data into meaningful information.