Case Study: Rebtel improves data quality and productivity with dbt Cloud from dbt Labs

A dbt Labs Case Study

Preview of the Rebtel Case Study

Rebtel improves data quality and data team productivity by migrating from Matillion to dbt Cloud

Rebtel, a telecommunications company serving migrants and international nomads, needed to improve unreliable data quality and relieve a data team bogged down by infrastructure maintenance. Using Matillion alongside dbt Core and Snowflake, the team lacked documentation, versioning, and CI/CD, which led to frequent incidents, low trust in data, and even a major failure that caused loss of historical data.

To solve this, Rebtel migrated away from Matillion to dbt Cloud, with Stitch for ingestion, and standardized on a SQL-based workflow with stronger governance and testing. dbt Labs helped Rebtel cut data infrastructure costs by 80%, save 3–4 weeks of maintenance time per year, and launch the new stack in 6 months, while also improving data quality and enabling new machine learning work such as fraud prevention.


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Rebtel

Chandan Singh

Head of Data


dbt Labs

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