Benjamin Chan

Imagine delivering critical business insights in half the time, with a data workflow so streamlined it practically manages itself. That was the vision for T-Mobile's credit risk team, grappling with a complex data ecosystem spanning Oracle, Databricks, Azure, Salesforce and SQL Server. Faced with the limitations of their initial Azure Data Factory, Databricks and stored procedure setup, they partnered with Tredence to forge a new path. The result? A modern data engine powered by Azure Data Factory for efficient ingestion, dbt for rapid transformations and GitLab for seamless version control. This strategic shift didn't just unlock 50% faster development and 20% cost savings through optimized Snowflake utilization; it fostered a unified, collaborative environment with automated documentation and crystal-clear data lineage. Peek into their future as they build a semantic layer and model registry and use Snowflake Cortex Analyst to empower self-service anomaly detection.