What type of processing occurs after data has been initially handled?

The term that refers to processing that occurs after data has been initially handled is post-processing. This stage involves taking data that has already been collected and processed in its raw form, and then performing additional operations or analyses to enhance its value or to prepare it for final output.

Post-processing can include various activities, such as data cleaning, applying algorithms to extract meaningful insights, formatting data for reporting, and aggregating results for easy interpretation. It is crucial in ensuring that the information derived from the data is accurate, reliable, and useful for decision-making purposes.

In contrast, pre-processing refers to the steps taken before the initial handling of the data, aiming to prepare the data for the upcoming analysis. Data management encompasses the overall strategy for handling data, including its storage, organization, and governance but does not specifically address what happens after initial handling. Data interpretation is the act of making sense of processed data, often occurring as a subsequent step to post-processing. Thus, while related, these terms reflect different stages of the data lifecycle.