Oracle Cloud Fusion holds rich manufacturing, supply chain, and financial data, but its complex structures make it hard to get into Snowflake. This demo shows how Incorta takes complex Fusion data and delivers an analytics-ready dataset to Snowflake in just a few minutes, with no code.
It starts with a data app. Incorta's Oracle Cloud ERP manufacturing and supply chain data app maps Fusion's data structures, relationships, and key KPIs and installs them with a single click, keeping every table in its source-native third normal form. In the business schema, build an inventory on-hand view from scratch by dragging in columns from the on-hand, cost, and locator tables and adding a formula for on-hand value. The query plan shows Incorta automatically identifying the tables and joins required, including ones not in the view itself.
Finally, create a schema with a simple materialized view, assign Snowflake as the data destination, and run it. In Snowflake, the new inventory table appears with all 669,000 records ready for analysis.