Self-Service Analytics with Power BI

Self-service without chaos

Power BI self-service works when certified datasets, workspace roles and publish rules are clear. Without them, every team invents its own truth.

Building the culture

• Define certified vs exploratory workspaces
• Train business authors on semantic models
• Enforce RLS and endorsement policies
• Measure adoption and report sprawl

Power BI with Fabric and SAP

Self-service scales further when Fabric capacity and SAP-sourced data products feed approved datasets. AnalitikPro designs that bridge for enterprises in Türkiye.

Practical notes for enterprises in Türkiye

Across Istanbul and beyond, Microsoft stacks often grow through Power BI while SAP still holds operational truth. Success comes from shared definitions, access control and publish discipline—not from swapping tools. AnalitikPro scales the Microsoft stack without breaking SAP investments.

Go-live checklist

• Clarify the business question and decision owner
• Define the certified semantic model / dataset
• Establish RLS, certification and monitoring early
• Keep self-service and governance in one frame
• Document the operating model after the pilot

This guide is meant to speed Microsoft analytics decisions. For architecture or a PoC, talk to the AnalitikPro team.