Case Study: DxTerity achieves 100x faster genomic data processing with Looker

DxTerity Using data-driven precision medicine to combat autoimmune disease

DxTerity, a patient-centric genomics company focused on autoimmune disease, needed a way to unify complex clinical, EHR, CDISC, and genomic data so it could build a scalable clinical-genomics platform. Working with Looker and the broader Google Cloud stack, DxTerity sought to reduce data silos, improve processing speed, and support terabyte-scale patient and trial data ingestion.

Looker helped DxTerity implement a harmonized analytics foundation using cloud-based data pipelines and standardized data models, enabling faster ingestion, processing, and analysis across multiple data sources. The result was a 100-fold faster genomic sequencing pipeline, nearly 6x lower analytics latency, months of manual work reduced to hours, and secure handling of health data in compliance with HIPAA and GDPR.

DxTerity

Jim Healy

Co-founder and SVP of Business Development