"Data visualization is less about making data look nice and more about a means to gain insights and communicate data."
How I put change in motion
I am an Engagement Lead, and I lead the Applied Intelligence team in Sweden. We help clients to gather, process and store data, as well as analyze it to gain insights that help optimize their business.
I lead a team for Telia—a new-generation telecommunications company focused on bringing people together through technology. My team has established a platform for the monetization of Telia’s mobile data, which we put to unique use at the start of the COVID-19 outbreak in the Nordics. We used their platform with a completely different perspective and goal: to analyze movements data to understand travel patterns in society following the outbreak.
My expertise is in data visualization—an area that is often misunderstood. Data visualization is less about making data look nice or putting it in a “pretty package;” and more about a means to gain insights and communicate data.
My team included Data Science Consultant Radoslav Kozma, who helped analyze and find patterns in data, and Applied Intelligence Consultant Emma Myresten, who worked on data analytics.
My role requires a lot of coordination, so I find myself quite busy with meetings every day. Even so, I try to spend a significant amount of time analyzing and visualizing data. Data visualization has evolved over the last 10 years. It has a wider audience and greater effect; I appreciate how it offers me the ability to communicate truly useful insights we find in the data.
What I appreciate most about my team are the genuine people and impressive culture. I love that I’m still surprised and impressed by the proactiveness and ambition among our people.
Being married with three kids, I spend most of my spare time with my family. We enjoy spending our time outdoors, in the mountains or in the Stockholm Archipelago, and on the soccer field.
“I love that I’m still surprised and impressed by the proactiveness and ambition among our people."
If you want to become a data engineer or data scientist or work in data visualization, get hands on and get comfortable working with data. Data fluency is an increasingly important skill—and not only for people working in analytics.
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