In systems analysis, what is true about fact-finding programs?

Fact-finding programs are essential tools in systems analysis, designed to gather information relevant to understanding systems requirements and processes. The statement that they can automatically perform fact-finding captures their capability to streamline and facilitate the collection of data from various sources.

In a systems analysis context, such programs are often equipped with features that allow them to extract information without requiring manual intervention, utilizing methods such as automated surveys, data mining, or real-time data processing. This automation enhances efficiency and accuracy in capturing a comprehensive snapshot of user needs, system performance, and operational environments.

The ability to automate fact-finding processes is particularly valuable in large-scale systems where manual data collection would be time-consuming and prone to error. By utilizing technology to gather data automatically, analysts can focus on interpreting and utilizing the data rather than spending excessive time on its collection.

The other options do not accurately represent the function of fact-finding programs. For instance, gathering only qualitative data overlooks the fact that these programs can also capture quantitative data, making them versatile in their output. Additionally, while data analysis is a distinct process, it should not be confused with the act of collecting data, which is the primary function of fact-finding. Lastly, limiting the use of fact-finding programs exclusively to