My hypothesis is that it’s the ‘easy to learn but hard to master’ element that was tripping us up. N.B.: Now is probably a good time to mention that as a former Tableau Zen Master myself, my standards for visualization and dashboards are pretty high. Just as I spotted that data preparation was becoming a bottleneck for our team, I also noticed around the same time that visualization and dashboard creation was also becoming a large time suck that delivered so-so results. Whatever tool you are using for the task, it’s easy to get your first charts produced, but it can be difficult to create something close to perfect. Every data analyst or data scientist can produce a chart or knock together a dashboard - but to produce the visualizations and tools that drive real impact and keep people coming back for more, that takes some specialization. Other times a visualization may be the end result of our work, either as a powerful storytelling image or as a dashboard intended for continued use by a wide group of people.ĭata visualization is something that, in my opinion, is easy to learn but hard to master. Sometimes this may be scrappy, throw away work as we use visual techniques to quickly explore our data. In much the same way that data preparation is part of every analysis, so too is visualization. In this post I am teaming up with Jacob Olsufka in a similar fashion to give you the low-down on our journey investing in visual analytics.
In a previous blog post, myself and Paul Glenn covered the topic of Analytics Engineering - why we think it’s an important discipline, our reasons for investing in it at Spotify, and how we are making progress. Our work includes exploratory analysis, experimentation, metric setting, building dashboards, user testing, ethnography, and surveys. We’re a multi-disciplinary team that covers both qualitative user research and data science, as per the Spotify model.
Our role is to provide guidance that enables the product and business teams we work with to meet their objectives through evidence-based decision making and customer focus.
Since 2016 I’ve led the Insights team for Spotify’s advertising business. Peter Gilks - Senior Director of Insights, Spotify Advertising
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