At what point can outdated processing sets be deleted?

The correct choice is when processing sets can be deleted prior to beginning the Inventory and Discovery phases. At this stage, it's critical to ensure the efficiency and clarity of the data management process, allowing for the removal of any outdated or irrelevant processing sets before starting any analysis.

Deleting outdated processing sets before Inventory and Discovery helps simplify the workflow, ensuring that only relevant data is considered. This not only makes the processing more efficient but also minimizes potential confusion or errors that could arise from handling obsolete data. Furthermore, maintaining a streamlined set of processing data at this stage ensures that the team can focus on the most current and relevant information available, facilitating effective decision-making and resource allocation.

In contrast, deleting outdated sets after Inventory and Discovery or based on the success or failure of inventory processes would not be as effective since maintaining outdated sets could interfere with current evaluations. Handling errors within a set does indicate the need for revision, but it does not inherently dictate when to delete a set. Hence, the decision to remove outdated processing sets should occur as early as possible in the workflow, specifically before the commencement of Inventory and Discovery.