Drive home fast data pipelines and upskill your data team

The Texas Rangers baseball operations team went from a legacy on-premises architecture that was impossible to scale, to a cloud data warehouse with prohibitively expensive infrastructure costs, data staleness, and herculean maintenance efforts. Neither could unify their siloed, disparate data sources, resulting in the development of complex data pipelines that took as much as two months to create, negatively impacting player performance analytics.

For the Texas Rangers, data is critical to the success of their player development and acquisition strategy and ensuring they are putting the best product on the field. But being able to rapidly build the data pipelines needed to integrate, transform, and process this data to gain competitive insights required engineering capabilities that were limited in the organization, putting the club at a disadvantage.

Prophecy’s natural fit with Databricks Lakehouse and the extensibility of the platform to support the services that the Texas Rangers needed has not only given the data team the ability to rapidly extract insights from greater volumes of player data, but also provided the club with the competitive advantage of greater productivity at scale.

Prophecy’s low code data engineering platform helps the baseball operations team upskill by enabling them to build data pipelines and data products quickly and easily without having to write code. This allows the data engineers to focus on more complex tasks and the data analysts to learn advanced data engineering concepts.