What must be ensured when validating data before importing?

Prepare for the Workday Data Loading for Implementers Exam. Sharpen your skills with multiple-choice questions, each with hints and explanations, to ensure you're ready for success!

Ensuring data accuracy and completeness is crucial when validating data before importing it into Workday. Accurate data means that the information is correct, consistent, and reflects the true state of affairs. This is important because incorrect data can lead to errors in reporting, compensation, and operational processes. Completeness indicates that all necessary fields contain values; missing information can prevent proper processing and functionality of the data once it is in the system.

When validating data, focusing on accuracy ensures that the records will perform correctly and yield reliable results during operations. Completeness, on the other hand, ensures that no required information is omitted, hence supporting effective business decisions and data integrity within the system.

While visual appeal, filling all data fields, and removing data from previous loads are considerations in managing data, they do not prioritize the critical aspects of accuracy and completeness that form the foundation of effective data validation processes.

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