Yesp StudioConfidential · Enterprise Healthcare
30% reduction in administrative load and a single source of truth across the organization.
Disconnected source systems were blocking clinical and operational insight.
Context, scope, and success criteria
Clinical, finance, and operations teams were each maintaining their own reporting layers, which meant leaders were reconciling conflicting numbers across multiple spreadsheets and scheduled exports. The lack of a governed model also made compliance review slower than necessary and created a persistent trust gap in daily reporting.
- Create a governed data foundation with clinical and operational domains that could support executive reporting and frontline analytics.
- Enable role-based access, lineage, and auditability for sensitive data without slowing down analyst workflows.
- Improve speed and quality of analytics consumption so operational teams could work from a single source of truth.
- Reduce manual reconciliation and reporting overhead across recurring business reviews.
Why the work started
Disconnected source systems were blocking clinical and operational insight.
What we built
A governed lakehouse with a FHIR-native semantic layer, role-based access, and analyst-ready marts.
Legacy versus modern flow
Multiple departmental data silos, duplicated definitions, and inconsistent access patterns made reporting slow and hard to audit.
A governed Snowflake lakehouse with FHIR-aligned semantic layers, role-based access control, and analyst-ready marts that could be reused across teams.
How the work was executed
Built a Snowflake-based governed lakehouse with domain-specific semantic models for clinical and operational data products.
Implemented FHIR-aligned domain modeling and analyst marts so downstream teams could work with familiar healthcare structures.
Standardized transformation workflows, test gates, and quality controls to keep new source onboarding predictable.
Rolled out reusable notebook templates and dbt patterns to accelerate self-service analytics.
Controls and delivery rhythm
Access controls, lineage, and compliance checks were embedded as mandatory release gates for every data product, with ownership, certification, and access review tied into the operating cadence.
Leaders gained a trusted enterprise view across clinical and operational performance, enabling faster insight-to-decision cycles and reducing the effort spent debating which report was correct.
Results and next steps
30% reduction in administrative load and a single source of truth across the organization.
The next phase focuses on predictive capacity planning, cohort-level forecasting, and AI-enabled care pathway optimization on top of the governed foundation.
Have similar architecture bottlenecks?
We can map the same modernization pattern to your infrastructure, release process, and operating model.