Julia's Journey – Notes from My Transition

Most people see digital analytics as tracking, dashboards and reporting.
I see it as a way to understand people: their choices, motivations, and the context behind their actions. My path to this field didn’t start in tech. It started in the humanities.

I studied musicology and sinology, disciplines that deal with structure, meaning, and context. At the time, it didn’t feel connected to marketing or data at all. But over time I realized that the habits I developed—interpreting patterns, questioning surface meanings, and looking for context—are just as important in digital analytics as they are in research.

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The Art of Reading Between Data

In classical Chinese, meaning often shifts with context. Reading a sentence is less about fixed translation and more about interpretation. Musicology, in turn, trains you to recognize patterns, structure, and meaning as they unfold over time.

Today, I use those same skills to identify patterns in data and understanding the story they tell. Metrics on their own are never the whole picture.

And data doesn’t speak for itself. It reflects how we look at it.

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Looking Beyond Cold Numbers

In a previous role, I worked with trade statistics. In 2022, when Russian gas supplies were cut, Germany’s imports from Norway spiked. On paper, it was just a shift in trade data. In reality, it reflected a much larger story about geopolitics and dependency.

Digital analytics works the same way. A click, a bounce, or a conversion isn’t just a number. It’s a signal of intent, curiosity, or hesitation. The real value comes from connecting these signals to a strategy: what people respond to, where they drop off, and how their journey can be improved.

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From Pandemics to the Moon: How Did I Get Here?

My interest in data-driven analysis started during the pandemic, when I worked as a research assistant. I followed data from sources like the Swedish Public Health Agency and compared patterns across Sweden, Norway, and Denmark.

Over time, I could see how different measures were linked to changes in behavior and the spread of the virus. That’s when I realized: data doesn’t just describe what is happening. It can point to what drives behavior.

But those drivers are not always visible in the data itself.

There’s a concept in Chinese painting where an important element, the moon for example, is left blank. You don’t see it directly, but you sense it through everything around it.

That’s how I think about analytics: the real insights often lie in the gaps; in what people don’t do as much as in what they do.

If You’ve Ever Felt That Data isn’t Your Language…

This blog is for all of you who are coming from a background like mine where meaning is debated, and knowledge is constructed rather than simply discovered.

I’ll share what I learn as I go: the tools, the concepts, the frustrations, and the moments where things finally click.

I’m not trying to become a digital analyst overnight. I’m figuring out how to connect my humanities background with the data-driven world I’m stepping into.

And Now? What’s Next?

In my next post, I’ll explore what “digital analytics” actually means, and why it’s not just for tech experts, but for anyone who knows how to interpret and ask good questions.

Especially now, as AI makes it clearer than ever which questions actually matter.