The Results
Modernization unlocked faster insight delivery and better governance across clinical reporting.
Placeholder note: Metrics above are illustrative until final client approvals are confirmed.
The Challenge
Clinical teams relied on a patchwork of spreadsheets, manual SQL exports, and inconsistent metric definitions. Data refreshes were slow, audits were painful, and conflicting numbers undermined trust.
Core Pain Points
Single-source-of-truth issues, delayed reporting cycles, and limited access to governed datasets.
The Solution
We consolidated data into a centralized warehouse, standardized transformation logic, and introduced semantic models for consistent metrics across teams.
Platform Blueprint
Ingestion Modernization
Replaced ad-hoc extracts with scheduled pipelines and automated data validation checks.
Metric Governance
Defined shared metric definitions with clinical leads and embedded them in dbt models.
Self-Serve Analytics
Delivered curated data marts and Looker explores to reduce analyst bottlenecks.
Impact
Leadership gained reliable dashboards for operational planning while analysts reclaimed time previously spent on manual data prep.
Before
After
Key Takeaways
Governance Enables Speed
Shared metric definitions and automated tests reduced rework and built stakeholder confidence.
Self-Serve Scales Teams
Curated data marts and enablement sessions helped clinicians and operators answer questions independently.
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