Many organisations running SAP share the same need: reporting stock, order, invoice or production data in BI, moving it to a portal, or using it in AI applications.
The real problem is not that the data sits only in SAP — it is that it also sits in other sources, and that it gets extracted out of SAP with fresh development for every new need.
In many organisations the process runs like this today:
- The BI team asks for data → ABAP development
- The portal asks for data → new development
- An AI project starts → a new data preparation process
- Excel exports are taken → manual work
- ETL processes are built → new maintenance load
The result? The same SAP data is requested again and again by different teams, and the SAP team drifts away from its actual work to deal with a stream of data transfer requests.
So why not bring SAP data into a shared local SQL or Azure cloud layer?
A table, report or CDS view in SAP is transferred once into the local SQL or Azure cloud layer. After that BI, the portal and AI all use the same data from a shared source, and external systems reach the data they need from their own layer.
This approach also makes it possible to combine other data sources in the same environment, not only SAP. One transfer, many uses.
What does iDataEngine do here?
iDataEngine makes the data layer between SAP and non-SAP systems a shared one. SAP tables, reports and CDS views can be transferred to SQL Server or PostgreSQL without writing code. So instead of doing ABAP development again for every new BI, portal or AI need, you can use the existing data layer.
iDataEngine also includes AI and WhatsApp-assisted BI features.
Try it on your own SAP system
Rather than a theoretical demo, let us try it on your own data. Pick an SAP table, report or CDS view and let us transfer it to SQL together. No new ABAP development is required, and the trial is free. See how SAP data can be used in external systems for your BI, AI or portal project, in your own environment.