What is the primary function of the filter transformation?

The primary function of the filter transformation is to remove records from an existing dataset based on specified criteria. This allows users to refine the data set by discarding records that do not meet certain conditions, making it easier to focus on the relevant data needed for analysis or reporting. By applying filters, analysts can manage data more effectively, ensuring that only pertinent information is retained for further processing or visualization, which ultimately enhances the quality and accuracy of insights derived from the data.

The other options describe functions that do not align with the purpose of the filter transformation. Adding new records pertains to data integration or appending processes, combining datasets relates to joining operations, and encrypting data involves security measures rather than data selection or cleaning. Hence, the correct understanding of filter transformations as tools for record removal is essential for efficient data management in CRM Analytics.