What do Level 1 Data Units primarily encompass in terms of operations?

Level 1 Data Units fundamentally focus on data loading and processing tasks within the OneStream platform. These units are essential as they serve as the foundational layer for managing data, ensuring that data is accurately loaded from various sources and properly processed for further analysis or reporting.

Loading data involves extracting information from different systems, transforming it as necessary, and then loading it into OneStream. This process is crucial because it allows organizations to consolidate financial and operational data efficiently. Once the data is loaded, processing tasks ensure that it is validated, aggregated, and ready for reporting and analysis.

While the other choices—data retention strategies, reporting metrics, and user data submissions—are important components of data management, they do not encapsulate the core functions of Level 1 Data Units. Data retention focuses on the strategies for storing data over time, reporting metrics deal with the analytics derived from processed data, and user data submissions pertain to the data input by users, which typically happens in subsequent stages after the initial loading and processing are completed. Thus, these elements are integral to the overall data lifecycle but do not represent the primary operations of Level 1 Data Units.