Which practice helps ensure data quality when transferring data between systems?

Which practice helps ensure data quality when transferring data between systems?

• A. Reconciliation and validated data fields
• B. Relying on user memory for data accuracy
• C. Skipping error checks to save time
• D. Transferring without any validation

Answer: (A)

Ensuring data quality during transfer comes from validating the data and reconciling it between systems. Reconciliation compares source and destination records to confirm they match, while validated data fields enforce rules on format, type, presence, and value ranges. This combination catches mismatches, missing values, or format errors before the data is used downstream. Relying on memory, skipping error checks, or transferring without validation all allow errors to slip through and can lead to incorrect data and downstream problems.

Ensuring data quality during transfer comes from validating the data and reconciling it between systems. Reconciliation compares source and destination records to confirm they match, while validated data fields enforce rules on format, type, presence, and value ranges. This combination catches mismatches, missing values, or format errors before the data is used downstream. Relying on memory, skipping error checks, or transferring without validation all allow errors to slip through and can lead to incorrect data and downstream problems.