When I started building dashboards, I thought usage would come naturally. I imagined business users logging in daily, clicking filters, saying “Wow!” in meetings.But here’s what actually happened:I built over 50 dashboards. And hardly anyone used them.

When Power BI introduced Field Parameters, it quietly solved one of the biggest frustrations report developers face:“How can I let users pick which metric or dimension to analyze — without building 10 versions of the same visual?”Field parameters let you switch columns or measures dynamically using slicers — without complex bookmarks, buttons, or DAX hacks.

If you’ve written SQL for long enough, you’ve probably asked yourself: “Should I use a CTE here? Or just nest a subquery?” Both get the job done. Both are valid. But how you use them can dramatically affect readability, performance, and maintenance — especially as queries get more complex.

If your SQL queries are “working” but taking forever to run — it’s probably not your database. It’s you. 💥As analysts and developers, we tend to learn just enough SQL to get the job done. But over time, these small bad habits compound into real performance problems — slow reports, timeouts, or worse: results you can’t trust.

If you’ve been learning SQL, brushing up on Power BI, or grinding through Excel formulas — you’re doing the right things. But here’s the truth most boot camps and online courses won’t tell you

If your Power BI dashboard takes longer to load than your coffee takes to brew, you’re not alone. Slow performance is one of the most frustrating issues analysts face — especially when you’ve already optimized visuals, minimized data volume, and reduced slicers. But what if the real problem isn’t visible on the surface?

In the world of programming, how you organize and manage data can be the difference between a fast, efficient application and one that struggles to keep up