Power BI Performance Audit & Optimization

Challenge

The customer faced Power BI performance constraints despite upgrading to a higher Premium capacity SKU. Throwing more capacity at the problem hadn't solved it. Symptoms included slow dataset refreshes, delayed visual rendering after filter changes (even in Import Mode), high CPU consumption, and growing data bottlenecks in report generation. The team needed to find the actual root causes — not buy more capacity.

Approach

We started with a quick-win isolation pass: profiling the workspace to identify the high-CPU and long-running reports, then targeting them for immediate fixes. In parallel we evaluated the underlying data models against established guidelines and best practices. Where models were salvageable we issued specific recommendations; where they weren't, we rebuilt them.

The biggest performance lever was pushdown optimization — pushing heavy work out of high-consumption Power Query payloads and into the source layer. We complemented this with targeted Power BI training on best practices and "golden rules", so the team can sustain the gains and avoid regressions on future reports. Finally, we built monitoring and alert dashboards so capacity, refresh, and consumption issues surface in real time.

Outcomes

• Significantly improved dataset refresh speeds
• Reduced report loading times and enhanced visual responsiveness
• Quick wins from high-CPU report optimization, plus structural gains from data-model rework
• Proactive monitoring and alerting — issues caught before users feel them
• Team enabled with best practices to sustain Power BI performance over time
• Capacity headroom restored without further SKU upgrade

Technology