United Colors of Dissent (UCoD) is a data-driven performance designed for live public interaction in urban environments. The performance captures the linguistic and socio-cultural profile of different communities by creating dynamic visualizations and infographics. The audience in a public space can join the performance through a simple URL on their browser and answer questions every 30 seconds using a simple slider. Their answers are collected in a pool, and based on those answers, the results are visualized on a media facade. The challenge was to visualize the data as it gets collected and shared immediately with the audience to give them feedback throughout the performance. The creators, Orkan Telhan and Mahir Yavuz, needed real-time technology to broadcast the results of their questions onto the media facade and let everyone see each other’s answers at the same time. They also needed a solution that could handle large fluctuations in users, from small amounts to thousands of users simultaneously, and provide real-time latency no matter what city the performance was taking place in.

Grupo Multimedios, one of Mexico's largest media and entertainment companies, was facing challenges in creating effective executive performance management dashboards. The company had been using spreadsheets, pivot tables, and other BI tools for several years, but the dashboards they created were visually cluttered with lots of numbers. This made it difficult for the end-users to effectively understand and manipulate the data. The company was in need of a new BI tool that would be both easier to use and visually appealing. The goal was to provide a graphical representation of the key data to top management in a way that was easy to understand and manipulate.

GDELT, the world's largest and most comprehensive open database of human society, faced a significant challenge. The Global Geographic Graph, a part of GDELT, spans more than 1.7 billion location mentions in worldwide English language news coverage dating back to 2017. The organization wanted to map the geography of the global news narrative, a task that was proving to be complex due to the sheer volume of data involved. The challenge was to find a way to effectively visualize this massive amount of data in a way that was both meaningful and accessible.