AI-Assisted BI View Design — Deep Dive addresses a problem most SAP landscapes know too well: Spreadsheet culture returns when self-service lacks governance.
BI Objects, Models, Views, Flows, and Reports share one admin console — AI-assisted design, filter sharing, export, and cache refresh jobs included.
BI Portal combines SAP (iDataView/API), SQL Server, PostgreSQL, files, and Microsoft Fabric into widget-based pages with live/offline modes, publish flows, and role-based visibility.
Capabilities you use in iDataEngine
- BI Admin and folder assignment
- BI Flows: node types and run history
- Widget export Excel/image
- Filter share and public links with expiry
- BI Objects: sources, columns, variants, cache jobs
- Data from SAP, SQL, Fabric on one page
Recommended workflow
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
- Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
Real-world scenario (2024)
Regional managers see margin widgets filtered by plant — live SAP on Monday, cached Fabric for trend lines — one page, role-scoped.
Why it matters
Widget export and share links spread insight without spreading uncontrolled extracts.
Measured on lead time, defect rate, and audit readiness, the platform pays back in the first production quarter.