Custom executive analytics platform that transformed raw clinical and financial data into actionable insights for C-suite decision-making
A growing regional behavioral healthcare company with multiple facilities needed to make better, faster decisions about patient outcomes and financial performance. Clinical data was locked inside an enterprise health records system with limited reporting flexibility. Leadership received delayed, manually compiled reports that couldn't answer follow-up questions without additional analyst time.
The company needed someone who could bridge the gap between raw healthcare data and executive decision-making — someone equally comfortable writing SQL queries against clinical datasets, building data visualizations, and designing an interface that a CEO would actually use. More than a data analyst, they needed a technical partner who could understand what decisions leadership was trying to make and work backward to the data that would inform them.
We started by sitting with the C-suite to understand what decisions they were actually trying to make — not what reports they thought they wanted. This revealed that the existing reporting answered yesterday's questions but couldn't adapt to new ones. The real need was an interactive system that let leadership explore data themselves.
We then mapped the underlying data landscape: patient outcome metrics, treatment effectiveness indicators, facility-level financial performance, payer mix, and operational utilization patterns. The work required navigating the complexity of healthcare data — multiple facilities, varied diagnosis categories, intersecting clinical and financial datasets — and distilling it into something an executive could act on in a morning meeting.
We built a custom analytics platform designed specifically for C-suite executives:
The engagement established data practices, query patterns, and a reporting culture that remained in use well after the partnership concluded — a sign that the work was built for the team, not just for the project.
C-suite gained self-service access to patient outcome and financial metrics for the first time
Eliminated dependency on manual report compilation for routine leadership questions
Uncovered clinical and financial insights that informed strategic expansion decisions
Established data practices and query patterns that remained in use after the engagement
Demonstrated viability of custom analytics tooling as alternative to expensive enterprise BI platforms