Case Study Deskcasestudydesk.com
Ticketing / Live EventsSourced

Case Study: SeatGeek reduced data incidents to zero with data observability

SeatGeek Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
SeatGeek
Industry
Ticketing / Live Events
Challenge
Frequent data incidents drained engineering time on root-cause analysis.
Headline result
SeatGeek cuts monthly data incidents from 10 to 0 and halves root-cause resource drain

Key results

10 to 0
Data incidents per month
within one quarter
50%
Less root-cause analysis resource drain

The challenge

SeatGeek's data platform experienced roughly ten data incidents per month, and diagnosing them consumed significant engineering effort.

The solution

SeatGeek adopted Monte Carlo's data observability platform to monitor its warehouse, accelerate detection, and streamline root-cause analysis.

“This is a tool that saves a lot of time and a lot of stress for people who are on the front lines.”

BL
Brian London
Director of Data Engineering, SeatGeek

The results, in context

SeatGeek reduced data incidents from 10 per month to 0 in the quarter after implementing Monte Carlo, and cut the resource drain from root-cause analysis by 50%.

Products used

Monte Carlo Monte Carlo Data + AI Observability Platform