Why Your Power BI Report is Slow: A 10-Minute Performance Audit
Last Updated on January 15, 2026 by Editorial Team
Author(s): Gulab Chand Tejwani
Originally published on Towards AI.
The diagnostic framework that helped me fix a 43-second dashboard in 30 minutes — and saved my job
The email came at 9:47 PM on a Thursday.
This article discusses the author’s experience with a slow Power BI dashboard and outlines a performance audit process that can be carried out in just ten minutes. The framework consists of five key checks, including testing visual load times and scanning the data model for inefficiencies. By auditing measures and ensuring query folding, the author highlights how small adjustments can lead to significant performance improvements. Ultimately, the article emphasizes the importance of a systematic approach to diagnosing and resolving report performance issues to prevent user frustration.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
