Case Study: Choozle reduces data downtime by 88% with Monte Carlo

How Choozle Reduced Data Downtime by 88% with Monte Carlo

Choozle, a digital advertising software company serving 6,000+ advertisers and agencies, needed a way to maintain trust in its newly expanded reporting platform. After adding external data sources like Google Analytics, Facebook, and AdWords, the team faced table sprawl, fragmentation, and the risk of data quality issues affecting campaign visibility and customer confidence.

To solve this, Choozle implemented Monte Carlo’s data observability platform with tight Snowflake integration, Slack alerting, lineage, and automated monitoring across 3,500 tables. With Monte Carlo, Choozle reduced data downtime by about 88%, cut incident resolution time from about a day to an hour, and sped detection of some issues from days to minutes.

Choozle

Adam Woods

Chief Technology Officer