KPI Dashboard Best Practices: Build One People Actually Open
Most dashboards get built, launched and forgotten. Design for decisions, keep the metric count low, define every number, keep data fresh and review usage.
Power BI & DAX
Modeling, DAX and performance for Power BI — star schemas, CALCULATE, time intelligence, and what actually makes reports fast.
Power BI vs Tableau: How an Analyst Actually Chooses
Power BI vs Tableau compared on cost, modeling, visual flexibility and learning curve, with a practical way to decide between them.
DAX Variables (VAR): Why They Fix Half Your Measures
VAR...RETURN makes DAX measures faster, easier to debug and easier to read. See the syntax, the performance reason, and the one gotcha with context transition.
Power BI Row-Level Security: A Practical Setup
Set up Power BI row-level security step by step, static and dynamic, plus the pitfalls that let data leak past a security role.
Slow Power BI Report? 7 Fixes in Order of Payoff
A slow Power BI report usually has a few clear causes. Measure with Performance Analyzer first, then apply these seven fixes, biggest payoff first.
Power BI Time Intelligence: YTD, YoY and Rolling 12 Months
Build year-to-date, year-over-year and rolling 12-month measures in DAX. Includes the date table rules that make time intelligence work, with copy-paste measures.
DAX CALCULATE Explained: Filter Context in Plain English
CALCULATE is the most important DAX function and the most confusing. Learn filter context, row context and context transition with simple examples.
Power Query vs DAX: Where Each Step Belongs
Not sure whether to clean data in Power Query or calculate in DAX? Use this simple rule, with examples for calculated columns, measures and the M language.
Power BI Star Schema for Beginners: A Practical Walkthrough
What a star schema is, why Microsoft recommends it for Power BI, and how to reshape a flat table into facts and dimensions step by step.
Power BI design: model first, then calculation groups
A practical guide to Power BI design: star schema, calculation groups, field parameters and dashboard layout habits that keep reports fast and easy to maintain.
Power BI Copilot: what it can and can't do today
What Copilot in Power BI does well, where it breaks, and how to test it on your own semantic model before business users start trusting its answers.
Git and an LLM for Power BI: a new way to build DAX and M
Save Power BI as text, version it in GitHub and connect an LLM to write DAX and M. Why this workflow changes how analysts build, review and trust their models.