What best practice should be followed when preparing data for loading?

When preparing data for loading, it is essential to cleanse, format, and validate the data to avoid errors. This practice ensures that the data is accurate, complete, and meets the standards required by the system, ultimately facilitating a smoother data loading process.

Cleansing data involves removing duplicates, correcting inaccuracies, and filling in missing information, which helps to eliminate potential issues that could arise during data loading. Formatting data according to specified guidelines ensures compatibility with the target system, which minimizes the risk of loading failures or unexpected behavior. Validating the data involves checking that it meets the business rules and requirements, ensuring integrity and consistency.

This approach not only helps in identifying and resolving issues before they impact the loading process but also saves time and resources in the long run by mitigating the need for post-load corrections and adjustments. Adhering to this best practice creates a more reliable and efficient workflow when dealing with data in Workday.