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Healthcare · Top-10 US Health System

Unifying 21 data sources into a real-time, HIPAA-grade lakehouse

<5 min
data latency, from 24 hours
~50%
lower compute cost
25%
of DS time on prep, from 70%

The Challenge

Twenty-one fragmented data sources meant 24-hour reporting latency and data scientists spending roughly 70% of their time wrangling data instead of building models.

Protected health information demanded strict governance, lineage, and de-identification across every pipeline.

Our Approach

Migrated to a unified lakehouse with streaming ingestion, cutting end-to-end latency to minutes while consolidating governance and lineage in one plane.

Applied differential privacy and automated PHI de-identification so analytics and ML could run on governed, compliant data by default.

Our teams finally work from a single, trustworthy source of truth — and we can prove exactly how every number was derived, down to the patient-privacy controls.

Chief Data Officer

Capabilities Deployed

LakehouseStreaming IngestionDifferential PrivacyData Governance

Illustrative engagement. The client is an anonymized industry archetype and figures reflect typical outcomes and published industry benchmarks.

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