Which processing approach is typically used for periodic payroll processing?

Which processing approach is typically used for periodic payroll processing?

• A. Online real-time.
• B. Manual entry.
• C. Batch processing.
• D. Real-time streaming.

Answer: (C)

The main idea is that periodic payroll is most efficiently handled by gathering all time data, deductions, and benefits for the pay period and processing them in one run. This is batch processing. By collecting all payroll-related transactions over a defined period and then processing them together, you can apply pay rules consistently, calculate taxes and withholdings, update employee records, generate pay slips, and produce the necessary postings to the general ledger in a single, controlled cycle. Batch processing also reduces system load and simplifies validation and reconciliation, which is ideal for a routine, scheduled activity like biweekly or monthly payroll. Online real-time processing would try to compute payroll as each piece of data arrives, which adds complexity and isn’t needed for a periodic, scheduled run. Manual entry is impractical for large numbers of employees due to speed and error risks. Real-time streaming focuses on continuous data flows for ongoing analytics, not the traditional periodic payroll cycle.

The main idea is that periodic payroll is most efficiently handled by gathering all time data, deductions, and benefits for the pay period and processing them in one run. This is batch processing. By collecting all payroll-related transactions over a defined period and then processing them together, you can apply pay rules consistently, calculate taxes and withholdings, update employee records, generate pay slips, and produce the necessary postings to the general ledger in a single, controlled cycle. Batch processing also reduces system load and simplifies validation and reconciliation, which is ideal for a routine, scheduled activity like biweekly or monthly payroll.

Online real-time processing would try to compute payroll as each piece of data arrives, which adds complexity and isn’t needed for a periodic, scheduled run. Manual entry is impractical for large numbers of employees due to speed and error risks. Real-time streaming focuses on continuous data flows for ongoing analytics, not the traditional periodic payroll cycle.