Welcome to the new Tech+Art Podcast!
Join us on this adventure as we meet & speak with: artists, makers, researchers, designers and creators from all background and fields.
Our objective is to understand their creative perspective, dive into their workflow & creative process, be inspired by new ideas and their work – and stay one step ahead of cutting-edge industry developments.
In this episode, we’re chatting with the amazing Tiziana Alocci.
Tiziana is a multi-disciplinary information designer who’s passionate about converting diverse and complex topics into visually engaging graphics.
Based in the heart of East London, she works with globally recognized companies and high-profile clients across a wide range of sectors to bring their data to life.
You can follow Tiziana’s work online:
There’s a full list of all resources mentioned at the bottom of the post!
The first 2 phases – the exploration and the definition phases – are where most of the work happens, in some ways. Where I define the look-and-feel, I do a moodboard, I do additional research, I deep dive into the data, quick prototyping […] I try to get into the core of the message and I also try to definite a top level look-and-feel, which then I’ll apply in the next phases.
I will say that almost 60% of the work is done before hand just sketching and quickly prototyping solutions. Because then when I go into the design phase, I want to have the core messaged signed-off and the backbone of the project 100% solid, because otherwise it’s very time consuming and also expensive to just go back and do things from scratch.
Data visualization is a niche industry, it’s still small, even if there are many, many, many people doing my job and any other job related to visualizing data in the world.
It’s growing because we have even more data – every day, every month – so we have more material to work with and also the technology is catching up – think about AI, machine learning and what kind of impact those are going have on the data visualization industry.
So I think that would be something interesting to explore. Also all the coding aspect, the automation, again that’s something that can speed up – even the design process and the design tasks – anything that can make my work easier or my work more accurate […] and avoid human error. I think that’s the direction, right?