Case Study: TOCA Football Achieves Data Trust and 90% Less Data Downtime with Monte Carlo

How TOCA Football Achieved Their Data Quality GOOOOOOAL

TOCA Football, an official training partner of Major League Soccer, needed to improve data trust across its modern stack of Fivetran, dbt, Snowflake, and Tableau. As the company added data from dozens of training centers and POS systems, its data team struggled with ad hoc processes, inconsistent KPIs, and time-consuming manual reviews that made executive and board reporting harder to trust.

TOCA Football implemented Monte Carlo’s data observability platform to add automated data quality monitoring, end-to-end pipeline coverage, and faster incident detection. With Monte Carlo, the team proactively caught lagging reports, new services, and new center data, while also helping streamline its data model. The result was about a 20% reduction in incidents, a 50% faster time to resolution, 20 data engineering hours saved per month, and a 90% reduction in data downtime.

TOCA Football

Sam Cvetkovski

Director of Data and Analytics