Which of the following best describes the process of merging data from a company's org with a data warehouse?

The process of merging data from a company's organization with a data warehouse is best described as using dataflows to automate the process of data merging. Dataflows are essential for integrating data from different sources, enabling the extraction, transformation, and loading (ETL) of data into a data warehouse. By automating these aspects, organizations can ensure that their data is consistently and accurately merged without the need for repetitive manual processes. This automation not only streamlines data integration but also allows for scheduling and real-time updates, which are crucial for timely analytics and reporting.

In contrast, creating a static report with pre-defined metrics doesn’t encompass the dynamic integration process, as it focuses on presenting data rather than merging it. Implementing manual adjustments for each reporting cycle introduces inefficiency and increases the risk of errors, making it less suitable for a systematic merging process. Utilizing raw data without transformation overlooks the necessity of preparing data for meaningful analysis, which is a key step in merging data to create a cohesive and insightful data set for a warehouse.