Jacki Farrow

What’s especially compelling is how the piece frames data quality automation as a strategic lever, not just a technical fix. You’ll see frameworks for continuous monitoring, adaptive rules that evolve…

What’s especially inspiring is how Umar doesn’t just show the destination, but the bumps, uncertainties, and work required to get there. From re‑learning tools like SQL, Python & Power BI,

Baraa Khatib Salkini picks out his most highly-rated questions, and goes through them one by one. If you’re starting your data journey, switching careers, or just curious about analytics, SQL,

A practical post from Jennifer Dawes. Learn tips like asking “why” repeatedly to clarify what the dashboard is actually for, choosing metrics that drive action (not just fill space), and

Yes, it’s possible, and, simpler than you might think. In this informative video by Andy Kriebel, there will be exact calculations you can copy, a clear step-by-step setup guide and

This isn’t just about aesthetics. Bennett Frohock gives practical, hands‑on advice: how to set workbook spacing, how to use the “Always show grid” option, how containers interact, and how to

This piece combines the technical and the personal. Alongside the feature‑comparison, Dan Chissick shares his journey – first encountering Tableau, getting hooked, and seeing what it enables in real projects.

Every step is illustrated, and David Gandary addresses subtleties like how reference lines aggregate and why you need a “fixed LOD” to prevent multiplying values by mark count. If you

It’s a practical and flexible approach. You don’t just get a one‑trick solution, you get patterns you can adapt (hierarchies, custom groupings, “All”, etc.). If you’ve ever felt constrained by

This amazing post by Ken Flerlage, featuring Kasia Gąsiewska-Holc takes you behind the scenes, sharing struggles, choices, and tradeoffs (lighting, projection alignment, image exports, toggles in Tableau). Whether you’re a