multiple or single semantic model

Hi powerbiexpert22,

Use Single Model + RLS when departments share the same fact tables and need a unified source of truth. RLS handles row-level restriction per user/department. Simpler to maintain, consistent KPIs.

Use Multiple Model when structures diverge, split when :

• Different grain (HR = employee level, Finance = GL line level)
• Sensitive data isolation required (payroll ≠ visible even as metadata to Finance)
• Different refresh cadences or development team ownership
• Model becomes a bloat of irrelevant measures per audience

The real-world best practice to avoid duplication is using Hybrid Model which means having one certified core model for shared dimensions (Date, CostCenter, OrgUnit) → department models connect via composite/live connection and add their own facts and measures. No dimension duplication, clean ownership per team.

How to choose the right pattern ? start with one model + RLS, split only when you hit a structural or compliance constraint.