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GM Motorsports

Overview​

  • GM Motorsports is a centralized data platform supporting racing operations across NASCAR, IndyCar, IMSA, WEC, and Formula 1. It provides comprehensive data from the entire racing lifecycle—covering simulation, vehicle development, telemetry, and trackside operations. This domain enables teams to leverage advanced analytics, real-time insights, and cross-program learnings to optimize performance and strategy.

Key Benefits​

  • Real-Time Decision Making: Access to streaming telemetry and live race analysis tools for immediate strategy adjustments.

  • Cross-Program Insights: Shared data across multiple racing series to validate models and transfer technical learnings.

  • Enhanced Vehicle Development: Data-driven engineering decisions improve reliability and competitive performance.

  • Custom Dashboards & Tools: AI-powered pit strategy systems, performance visualization, and benchmarking platforms.

Getting Access​

  • COMING SOON

Explore the Data Catalog​

  • Example queries and code snippets are maintained within domain-specific Git repositories and Confluence documentation GM Motorsports Page.
  • Due to the data mesh architecture, examples vary by domain and data product.
  • For assistance with specific use cases, contact the GM Motorsports Data Engineering team via #help-gmms-data-engineering.

Who's Using this Data?​

Teams using GM Motorsports Data​

GM Motorsports serves as a data platform provider to race teams across:​

  • NASCAR
  • IndyCar
  • IMSA
  • WEC
  • Formula 1

Key consumers include:​

  • Race Engineers (strategy, setup, performance analysis)
  • Crew Chiefs (race-day decision making)
  • Simulation Engineers (vehicle development, scenario modeling)
  • Vehicle Assembly and Preparation Teams (parts tracking, build specifications)
  • Performance Engineers (telemetry analysis, vehicle optimization)
  • Competition Analysis Teams (benchmarking, competitor insights)
  • Data Scientists and Analysts (advanced analytics, predictive modeling)
  • Plus many many more...

The entire racing operation from shop floor to trackside relies on this data domain for their respective functions.

Internal communities or forums:​

  • The primary community channel is Slack #help-gmms-data-engineering.
  • For support and general data discussions, each domain has their own channels internally as well.
  • GM Motorsports also holds monthly program reviews where domains showcase new features, capabilities, and updates.
  • Domain-specific discussions occur within respective team Slack channels and through the Confluence wiki collaboration spaces.

Reports and Dashboards​

GM Motorsports has developed multiple custom applications and dashboards that rely on this data domain, including:

  • Live race analysis tools for real-time driver comparisons
  • Competition analysis platforms for benchmarking against competitors
  • AI-powered pit strategy recommendation systems
  • Custom trackside dashboards for race engineering teams
  • Performance analysis and telemetry visualization tools
  • In addition to these custom applications, users have direct data access capabilities through Databricks for ad-hoc analysis and custom reporting.
  • Specific dashboards and tools vary by racing program and are maintained by respective domain teams.

High Value Use Cases​

Real-time Race Strategy Optimization:​

  • Streaming telemetry data from track operations enables immediate decision-making during race weekends, allowing engineers and strategists to optimize vehicle setup, tire strategy, and race tactics in real-time across all five racing programs.

Cross-Program Performance Analysis:​

  • Historical and real-time data from DiL, wind tunnel, engine dyno, 7-post, and track operations enables engineers to identify performance patterns, validate simulation models, and transfer technical learnings across NASCAR, IndyCar, IMSA, WEC, and Formula 1 programs.

Vehicle Development and R&D:​

  • Comprehensive data from the complete racing lifecycle, from parts testing through simulation, development, and track validation, drives data-informed engineering decisions that improve vehicle performance, reliability, and competitive outcomes.

Training & Learning Resources​

  • Training materials and documentation are maintained by individual domains within the GM Motorsports Confluence wiki and within respective Git repositories.
  • Documentation includes onboarding guides, tutorials, and best practices specific to each domain's data products.
  • For general guidance, contact the GM Motorsports Data Engineering team via #help-gmms-data-engineering.

Need Help? Connect with us​

Support Channels​

Have an update? Send us your feedback via Slack at: #feedback-data-gm-com​

Last updated: November 24, 2025 Document version: 1.0