Solution
Luma Analytics designed and built a cloud-based, serverless data platform architecture on AWS, powered by modern data engineering and machine learning analytics practices. The solution leveraged infrastructure-as-code, test-driven development, and continuous integration and deployment (CI/CD) to ensure scalability, reliability, and speed. This cloud data engineering approach enables real-time computation of advanced metrics, transforming raw data into precision analytics for next-generation golf data insights.
Outcomes
The AWS-based platform now delivers complex machine learning outputs on large volumes of golf performance data in seconds – transforming how players and coaches understand and improve performance. Its scalable, automated cloud data platform supports continuous innovation, providing real-time insights, benchmarking, and personalised recommendations to golfers around the world.
Featured Results
- Serverless AWS data platform delivering real-time analytics in seconds
- Scalable cloud architecture supporting global user growth
- Advanced machine learning models powering personalised player insights
- Continuous integration and deployment (CI/CD) enabling rapid innovation and reliability
