AI case study

SūmerSportsSports analytics

Managing 200TB of player data required heavy manual oversight. Now, serverless pipelines let scientists deploy models themselves.

Published|today

Key results

Output Generation Time
< 1 min
vs 4 days
Processing Volume Growth
3x

Result highlights

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The story

Context

A sports analytics startup processes up to 200 terabytes of football data per season from 14 different sources, including high-frequency sensor tracking, scouting reports, and contract financials.

Challenge

The emergence of high-frequency player tracking data overwhelmed their fragmented infrastructure, which relied on a patchwork of custom orchestration...

Solution
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Scope & timeline

  • EPA model deployment time cut from 3 months to 4 weeks
  • 60 active regular platform users

Quotes

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The company

SūmerSports logo

SūmerSports

sumersports.com

SumerSports is a sports analytics company that provides a data-driven platform to help professional and collegiate sports teams make informed roster decisions within salary cap constraints.

LocationPalm Beach, Florida, United States
Employees51-250
Founded2022

The vendor

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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