AI-Assisted BI View Design addresses a problem most SAP landscapes know too well: Spreadsheet culture returns when self-service lacks governance.
Business users build dashboards without ABAP; IT keeps auth fields and role values under control.
Business users build dashboards without ABAP; IT keeps auth fields and role values under control.
Capabilities you use in iDataEngine
- BI Role Management: auth fields, role values
- BI Objects: sources, columns, variants, cache jobs
- Filter share and public links with expiry
- AI-assisted view design
- Transformations and model grouping cache
- BI Views: widgets, live/offline pages, publish
Recommended workflow
- Enable monitoring alerts and review dashboard KPIs for the first production cycle.
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
- Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
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
Self-service fails when IT cannot enforce row-level rules. BI Portal delivers speed for business users and auth fields for compliance — the combination enterprises asked for.
Innovation here means business sees results faster — IT keeps control because every step is configured, tested, and monitored.