What should be designed as part of data load preparation?

Designing programs or reports required to extract data and initiate data cleansing is crucial for data load preparation, as it ensures that the data being moved into the SAP system is accurate, complete, and consistent. Extracting data involves identifying the source systems, determining the necessary data fields, and creating scripts or programs that can accurately retrieve this information. Following extraction, data cleansing aims to eliminate inaccuracies, duplicates, and irrelevant information within the data set. This process ensures the quality of the data load, which directly impacts the effectiveness of financial reporting and analysis in the SAP system.

The other elements, while important in a broader project context, do not specifically pertain to data load preparation. Business case justifications for funding focus on securing resources and budget allocations rather than preparing data. User interface mockups are essential for user experience design but do not contribute directly to the data load process. Lastly, integration testing plans are crucial for assessing system interactions post-implementation but occur after the data load has been completed and do not form part of the preparation phase.