During the racing season roughly March through November teams travel to 19 countries. Like all the teams, the Sauber F1 Team heavily relies upon data analytics to constantly innovate its car design and racing strategies.
During a typical race weekend, about 25 GB of telemetry gets collected in total. Every year, some 20 TB of data are collected, stored, and analyzed.
Industrial companies of all sizes are confronting massive volumes of data financial transactions, logistics stats, RFID and bar-code data, images, web analytics, social media streams, machine data, sensor readouts all streaming in at high velocity and in a dizzying variety of formats. The “big data” concept has emerged in recent years as an important new decision-making tool for manufacturers.
The emerging field of “data visualization” brings together quantitative information with technology and graphic design to tell stories and convey ideas. As data about our environment, travel, work, online activities and other behavior increases exponentially, visualization tools can help discern the forest from the trees of rows and columns, in order to understand trends and make decisions. Moving beyond the standard pie charts and bar graphs, creative visual artists, demographers, journalists and others are developing exciting new ways to marry data with visual representation.
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