Data filtering restricts data based on which factors?

Data filtering in Workday Adaptive Planning is primarily concerned with dimensions and attributes, which are the key elements used to categorize and analyze data within the platform. Dimensions refer to the various classifications that can be applied to data, such as departments, regions, or time periods, while attributes enhance these classifications by providing additional context or characteristics.

Using dimensions and attributes for filtering allows users to isolate specific slices of data for more targeted analysis, making it easier to draw insights relevant to particular segments of the organization. This capability is crucial for accurate reporting and forecasting, as it enables users to focus on the most pertinent data for their decision-making needs.

While the other options mention valid considerations in different contexts, they do not specifically align with the primary mechanics of data filtering as implemented in the Workday Adaptive Planning environment.