A Framework for Efficient Data Scripting in High-Volume Sports Graphics Workflows

Data is at the heart of storytelling for broadcasters across the world of sports. Through powerful data APIs, broadcasters can access and integrate massive volumes of real-time data into their on-air graphics, enabling stats-driven analysis and automated graphic updates. However, effective maintenance and integration of such high volumes of data can prove difficult from an IT and manual design perspective. This paper outlines how a scripting framework – leveraging open-source, high-performance scripting tools – can provide superior flexibility in secure IT environments and eliminate the need for repetitive design to utilize data in different presentation scenarios.

Nikole McStanley | Chyron | Tampa, Fl., United States
David Mayer | Chyron | Apex, N.C., United States
Dan MacDonald | Chyron | Ottawa, Ontario, Canada