Gaining a holistic and immediate view of data sets with anytime, anywhere data access
In the world of esports with an estimated 3.24 billion gamers globally, the distinction between traditional sports and esports is blurring.
In this multibillion-dollar industry, Team Liquid is the most victorious esports franchise in the world and has one of the largest footprints in the esports ecosystem. Represented across 18 major esports games, including Dota 2 and League of Legends, Team Liquid supports more than 150 athletes and operates training facilities in Utrecht, The Netherlands; São Paulo, Brazil; and Los Angeles, California.
Online gaming and esports are incredibly data intensive and success comes from diving into that data to find incremental improvements. To retrieve the most salient insights for guiding heightened team performance during training and competition requires scrutinizing multiple data sources across various tools. Each move made by teammates and competitors needs to be analyzed, calling for a holistic view of data sets and anytime, anywhere data access.
In the past, Team Liquid relied on manual collection processes. For example, data analysis for training purposes involved watching game replays and manually collecting screen shots, which was error-prone and very time-consuming. In addition, Team Liquid used several data sources across multiple tools to retrieve relevant information.
To get the best out of its teams and players, Team Liquid needed to automate data collection and analysis to extract more value from the vast amounts of data it generated.
“Team Liquid’s business model is very similar to traditional sports,” says Victor Goossens, Founder and Co-CEO, Team Liquid. “Data and information are absolutely critical in esports, and technology can help enable that 1% to 2% performance improvement that makes the difference in top sports. They're crucial for our business, our competitive teams, and developing tribal fandom.”