Jacki Farrow

This post is a fantastic window into what a creative journey can look like. Jennifer Dawes takes you through a less often discussed part of the design process: turning vision…

Haleigh Schwartz dives into things like parameter actions, image roles, overlaying data with custom images, and clever tricks like invisible shapes to make interaction feel smooth but seamless. The post

Rather than treating each concept as unrelated, Younes Ghouini shows how standard deviation, outliers, Z‑scores and regression interact to help you move from raw data to solid insight. After reading,

Shaun Davis gives structured steps for week one and week two: things like holding a “truth meeting” to air concerns, documenting data flows, running “pulse checks” with your critics, and

This isn’t just theory, Ollie Linley shares tips he applies every time, and you get real examples and inspiration for how to start crafting your own design style. For anyone

Joseph Darton’s piece doesn’t just explain Z‑scores; it shows you how to use them with real data visualisations in tools like Tableau. You’ll see radar charts, boxplots, and step‑by‑step instructions

What makes Jennifer Dawes post especially valuable is how she gives you access to her process: the sketches, experiments, time constraints, colour/accessibility choices – all of which often remain invisible

Beyond just theory, Annabelle Rincon’s article walks you through a hands‑on modelling example with a bookstore dataset, showing how you can practically set up semantic models, define relationships, build logical

Beyond that, there are improvements aimed at making the analytics experience more intuitive, secure and collaborative. Roll‑over time ranges, region‑aware LLMs, richer mobile metric discovery, and stronger integrations (Teams, Google