Operational data stores function similarly to the extract, transform, and load (ETL) process. In the ETL process, data is extracted from specific sources, transformed, and loaded to its designated destination. Conversely, in the ODS process, raw data from production systems is imported and stored in its original state, without undergoing any transformations. The purpose of this approach is to present the data as-is to business intelligence (BI) applications for analysis and operational decision-making.