What does “data mapping” in OneStream entail?

Data mapping in OneStream is a crucial process that involves defining how data from various sources is translated into OneStream's dimensional structure. This means establishing relationships between incoming data and the specific dimensions within the OneStream platform, which allows the system to organize, analyze, and report data effectively.

Understanding data mapping is essential, as it ensures that the data is accurately represented in the context of OneStream's multidimensional architecture, enabling users to gain valuable insights and perform meaningful analyses. This foundational element helps to maintain data integrity and consistency throughout the reporting process.

In contrast, the other options address different functions within the OneStream ecosystem. Securing data from unauthorized access focuses on data protection, while creating user roles and permissions pertains to user management and access control. Visualization of data in reports relates to presenting data findings visually rather than how data is structured or processed within the system. Each of these elements is important for the overall functionality of OneStream, but they do not capture the essence of data mapping itself.