What information can internal data analysts retrieve from the scanned documents using the proposed solution?

The correct answer is that internal data analysts can retrieve the applicant name, application date, and application text from the scanned documents using the proposed solution. This is critical in scenarios where data extraction from documents is required for further analysis or processing.

The ability to extract applicant names facilitates identifying individuals associated with applications, which is fundamental in many processing workflows such as loans, admissions, or service requests. Likewise, retrieving application dates helps in tracking the timelines of submissions and understanding how long an application has been in the system. Most importantly, accessing the application text is essential for content analysis, enabling data analysts to assess the quality, circumstances, and specifics of the application itself.

Focusing solely on document images or only partial data such as applicant name and document type limits the functionality to mere identification. Similarly, restricting the extraction to application date and type omits vital qualitative information contained within the application text, which is often the most significant portion of data when making informed decisions. Hence, retrieving all three parameters provides a comprehensive dataset for thorough analysis.