What does “data ingestion” refer to in OneStream?

Data ingestion in OneStream specifically refers to the process of importing data into the OneStream platform. This is a crucial step in the data management lifecycle as it allows organizations to interface with external data sources and bring that information into the OneStream environment for further processing, analysis, and reporting.

This process may involve various methods of data transfer, including bulk loading, real-time streaming, or scheduled data imports, and can incorporate data transformation to ensure compatibility with OneStream's data structures. By accurately ingesting data, organizations can ensure that their financial and operational insights are based on the most current and relevant information.

In contrast, the other choices address different aspects of data handling but do not define data ingestion. For example, extracting data would refer to pulling information out of OneStream, while data analysis focuses on evaluating the data's insights after it has been ingested. Storing historical data deals with how previously ingested data is kept for future reference, rather than the process of getting that data into the system initially. Understanding this distinction helps clarify the role of data ingestion in a comprehensive data management strategy within OneStream.