Data Platform for Sports Intelligence

Collaboration between Digiteum and Champion Data Australia started in 2021 with a web project for sports stats broadcasting and DevOps for cloud infrastructure support.

Fast-forward three years and more than 15,000km, we now work with the Champion Data team in the UK, contributing to the development of their scalable platform for sports data analytics and management.

Our senior .NET engineer works as an integral part of Champion Data’s tech team. The team uses the latest cloud engineering and data practices to capture multiformat sports data from various sources and deliver rich insights, fast and effectively. All the while keeping a laser focus on security, reliability, and scalability.

After decades of providing high-quality sports data in Australia and New Zealand, Champion Data scaled up operations to the UK. Strategic partnership with Infront Sports & Media brought a new goal on the roadmap — to develop a scalable data platform that would deliver precise sports insights locally.

To score this goal and deliver a modular data platform in optimum time, Champion Data put together a tech team in Europe. They needed a nearshore partner who could not only bring senior tech expertise to the table but also hit the ground running and flexibly adjust on the go.

Our engineer joined the team at the inception contributing to the setup of a scalable AWS infrastructure, the development of APIs and pipelines for various data sources, and custom authentication for secure access to sports insights.

Game scores, ball tracking, player performance metrics, live stats. These are all different types of data coming from different sources.

One of our core goals on the project is to support Champion Data’s efforts in capturing, processing, and structuring this data — with efficiency, precision, and speed. So they can deliver sports insights tailored to the unique requirements of their clients.

As part of Champion Data’s team, we leverage our tech expertise and cloud experience to:

• Integrate data from various providers on one centralized data platform.
• Build and support pipelines to organize and structure multiformat data into a model adapted to the clients’ needs.
• Enable real-time processing to deliver live sports data at sub-second speed.
• Add data sources and analytics capabilities for in-depth insights and data-driven decisions.
• Provide secure API access to data via a custom authentication mechanism.
• Prepare complex sports data for engaging broadcasting experience, real-time streaming, and sports analytics.
• Deliver precise high-quality data for sports intelligence and broadcasting.

The team works in a flexible way adjusting the scope and roadmap to the changing requirements and needs of different clients. Ultimately, the platform is set to scale up to a powerful engine able to process and unify sports data across any source and domain.