Tech+Art Podcast: Tiziana Alocci


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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.

It’s growing because we have even more data [...] and the technology is catching up - think about AI, machine learning and what kind of impact those are going have on the data visualization industry.


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!

Question 1: What is your creative process like?

I have a simple creative process which I really rely on. I think of my creative process as a kind of safety blanket. […] I think it’s very important because it helps me stay on track and follow a workflow that makes sense – especially when blockers or other issues come up, which happens a lot. So I can go back to the process and find a way to solve any issue without panicking.

It’s basically made up of 4 or 5 different steps depending of course on the circumstances or the project I’m working on, but generally speaking it includes: – an initial exploration phase where I try to frame the problem that I want to solve or the story that I want to tell; that’s a very important part for me when I start a project […] then follows a phase which I called Definition […] basically I define the topic by doing additional research and this can be both content or visual wise. I find an angle for the story and start to make a plan or strategy on how to tackle the project. After these two phases, I just deep dive into the cycle of design, prototype and testing. Because most of the work I do is digital – so screen based – so it requires prototyping or testing. But even when I do printed work I still try prototype and test them in some way (doing print tests and things like that).

So that’s it. It’s kind of a fluid process. Not too structured. Because a design has to be fluid because of its nature – it’s not a linear process.

Question 2: Where does your inspiration or ideas come from?

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.

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Question 3: How do you balance creating for yourself with creating for a living? Are they one and the same?

It’s hard, it’s very hard. I try to prioritize client work because basically it’s what makes up 80% of my time in general […] But I try to allocate some time to work on some other projects.

Not only because personal projects are exceptional opportunities to learn new things, which sometimes are completely outside your comfort zone, but also because it’s something that I need and I’m lucky enough to enjoy my freelance life and I think this is one of the perk of being a freelancer.

Question 4: Where do you think the generative/computational/creative coding/data viz industry is headed?

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?


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