Case Study: Resident reduced data issues by 90% with Monte Carlo

Key results

The challenge

Resident, a direct-to-consumer sleep products company, managed over 30,000 tables in BigQuery. Frequent data incidents undermined trust in analytics as the business scaled.

The solution

Resident implemented Monte Carlo for automated monitoring and incident management across its BigQuery environment.

The results, in context

Resident's data team reported a 90% decrease in data issues after implementing Monte Carlo, noting it now handles roughly 10% of the incidents it faced a year earlier across an estate of more than 30,000 tables.

Products used