Moneyball: How the Texas Rangers use low-code data engineering and analytics to identify MVPs
Key Takeaways:
The Texas Rangers are leveraging low-code data engineering to gain a competitive edge. This article explores how they use data-driven insights to identify undervalued players and make informed decisions, just like the modern Moneyball approach.
The sports industry has seen a significant rise in the adoption of data and analytics to gain a competitive advantage and improve the fan experience. The Texas Rangers are at the forefront of this movement, as they analyze terabytes of in-game data to optimize player performance and scouting. Join this webinar to learn how the Rangers’ data team overcame the challenges of technical resource constraints and the complexities of scaling real-time data pipelines with Prophecy’s low-code data engineering platform.
During this interactive session, we will cover a range of topics, including:
- How the Rangers use data to identify and evaluate potential players
- Why they chose the Prophecy low-code data platform as the data engineering foundation on their Databricks lakehouse
- Best practices and tips for becoming a high-performance data engineering team
