Jacki Farrow

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

Many local governments recognise the promise of data but struggle to turn that potential into real-world impact. Between legacy systems, cultural resistance, and limited resources, it’s easy for “data-driven” to

With Donna Coles, you get concrete requirements to work to (size, label placement, colour, ordering), plus inspiration via Sarah Pallett’s original L‑shaped bar post. There’s space to be creative: you

It’s not just numbers and charts: the design looks set up so you can filter, compare, and drill down, which means you’re not stuck with vague trends – you can

Compelling is the honest take on the challenging bits – getting and cleaning messy datasets, learning new visualisation techniques, balancing ambition and time, etc. If you like data work that

There are practical tools here: using frameworks like the Eisenhower Matrix to triage tasks, mapping priority work to organisational objectives, and building the kind of trust (“relational capital”) so that