What must be prepared to facilitate bulk mapping prior to data import?

The preparation of mapping tables is essential to facilitate bulk mapping prior to data import. Mapping tables serve as a crucial link between the source data and the target data structure in the Workday Adaptive Planning environment. They define how the data fields in the source files correspond to the data fields in the system.

Having a well-structured mapping table ensures that data is accurately and efficiently transformed and loaded into the right locations within the platform. It helps prevent confusion during the import process, as it lays out the relationships and requirements for each data element being imported. As a result, you can streamline the bulk import process and ensure data integrity and coherence in the application.

In contrast, while data sets, import templates, and data dictionaries play vital roles in data management and application configuration, they do not specifically focus on the mapping process required for data imports. Data sets hold the actual data, import templates provide a structure for data imports, and data dictionaries describe the data attributes and their definitions, but mapping tables are uniquely critical for establishing the necessary connections between different data sources before execution.