In the context of designing a Data Lake and Analytics (DLT) pipeline on Azure, consider a scenario where your organization aims to process large volumes of raw data into actionable insights with minimal latency. The pipeline includes steps for ingesting raw data, processing and transforming it, and finally delivering the results to end-users. Given the need for cost-efficiency, scalability, and compliance with data governance policies, which of the following best describes the primary purpose of the 'action' step in this pipeline? Choose the single best answer.