SaaS / MLOps
Comet ML case study
250%+
Dashboard Adoption
300+
Data Models Built
700+
Automated Tests

The Challenge

Disconnected data sources across product, marketing, and customer success teams. No self-service BI infrastructure, forcing stakeholders to rely on manual ad-hoc analyst requests creating bottlenecks.

Our Solution

Built enterprise-wide ELT pipeline using Fivetran, dbt, Segment, and Redshift. Engineered 300+ data models with 700+ automated tests, version control, and comprehensive documentation. Created semantic layer with business-friendly metrics and intuitive dashboards in Metabase and Amplitude.

The Results

250% increase in BI dashboard adoption. Marketing, Sales, and Product teams now access real-time insights independently, eliminating analyst bottlenecks and enabling faster decisions.

Quick Facts

Industry
SaaS / MLOps

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What Our Client Says

"Upturn transformed our data infrastructure from a bottleneck into a competitive advantage. Our teams now make data-driven decisions in real-time without waiting for analyst support."

SC
Sarah Chen
VP of Product, Comet ML

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