Oraion Behind the Scenes
Next, the data is extracted from the ODS, cleaned, and then loaded into the Data Warehouse.
Oraion agents remove any personal identification info from your data.
In the Data Warehouse, data is ready to be used to generate insights and predictions.
Data is pulled and collected from linked sources.
Data flows into the Operational Data Store (ODS) where it’s kept fresh and up-to-date.
The data is then analyzed by Machine Learning Models that learn patterns, predict future trends, and find hidden insights.
The API Layer acts as a bridge that helps different parts of the system talk to each other.
The Agent Framework handles agents and their role in chat conversations, app interface customization, and automatic reports.
Then the data is then accessible in the Oraion application backend & interface. This is what users see and interact with.
Your data (and metadata) is then catalogued.