Overview
In this episode of The Dashboard Effect, Pedro Renteria, VP of Financial Planning and Analysis at SimonMed, shares what two years of building a data-driven culture inside a PE-backed healthcare organization actually looks like from the inside. The conversation covers the full arc of SimonMed’s BI journey, from a disorganized data warehouse full of disconnected reports to a focused, trusted platform that has changed how decisions are made at every level of the organization.
It is one of the more candid and human accounts of what data transformation involves beyond the technology, covering the change management, cultural resistance, and organizational alignment work that determines whether a BI investment produces lasting change or just a cleaner dashboard. See how Blue Margin’s Private Equity Analytics & Data Dashboards helps PE-backed companies build the kind of trusted, organization-wide data foundation that SimonMed describes.
What This Episode Covers
The BI Journey (4:18 – 11:45)
SimonMed’s starting point was a data warehouse containing hundreds of disconnected, unverified reports that nobody fully trusted. The team’s response was disciplined restraint: rather than attempting to fix everything at once, they adopted a less is more approach and focused on establishing a single source of truth for two core metrics, patient volume and order conversion. That narrower scope produced something the entire organization could align around, and the trust built on those two metrics became the foundation for everything that followed.
Driving Action and Ownership (12:02 – 16:15)
Making performance data visible and accessible to site-level teams changed the dynamic from reactive to proactive. When teams can see their patient volume against targets in real time, they can make scheduling adjustments and operational decisions without waiting for a monthly report to tell them what already happened. Pedro describes the sense of ownership that followed as one of the most significant and unexpected outcomes of the BI investment, a change in how people related to their own performance rather than just a change in how performance was reported.
Mentorship and Sales Effectiveness (13:53 – 16:35)
Data-backed insights gave regional directors the ability to move from intuition-based coaching to evidence-based coaching. Rather than flying blind in conversations with sales reps, directors can point to factual trends in referring provider behavior and have targeted, specific conversations about what is working and what needs to change. The coaching quality improves when the data makes the patterns visible, and Pedro describes that shift as meaningful for both the directors and the reps they are developing.
Change Management and Communication (16:36 – 22:50)
Introducing productivity metrics, particularly around technician performance, required careful and deliberate change management. Pedro is specific about what made it work: framing the data as a tool for process improvement rather than a mechanism for blame, and creating a genuine feedback loop where teams could challenge the data logic and participate in refining it. That participatory approach is what converted skepticism into buy-in and turned a sensitive metric into something teams used rather than avoided.
Measuring ROI (24:36 – 29:26)
Pedro is honest about the difficulty of quantifying BI ROI in precise dollar terms and does not try to manufacture a number that would oversimplify what actually changed. What he can speak to is the overall health of the organization two years later: better executive alignment, less anecdotal decision-making, and a cultural shift toward evidence-based strategy that shows up in how meetings are run and how disagreements are resolved. Those outcomes are real even when they resist precise measurement.
Future Outlook (32:26 – 34:00)
The next phase of SimonMed’s BI investment focuses on integrating financial data and Revenue Cycle Management metrics into the platform. Pedro sees RCM as an area with significant untapped potential, particularly in payer-related operations, and building the data infrastructure to surface and act on that potential is where the organization’s analytics capability is headed next.
Who It’s For
This episode is worth your time if you are a finance or operations leader at a PE-backed healthcare organization navigating a similar data maturity journey and wanting a firsthand account of what the work actually requires, a CFO or FP&A professional trying to build the case for a BI investment without being able to point to a precise dollar return, a data or BI team working through the change management challenges of introducing performance metrics to frontline employees and wanting a model for how to do it well, or any organization where the gap between anecdotal decision-making and data-driven strategy is visible to leadership but the path to closing it is not yet clear.
Why It’s Worth a Listen
Pedro’s account of SimonMed’s journey is valuable precisely because it does not skip the hard parts. The disorganized starting point, the resistance to productivity metrics, the difficulty of quantifying ROI: these are the experiences that most BI case studies either omit or smooth over, and hearing them described honestly makes the success that followed more credible and more instructive.
The change management section is the most practically transferable part of the conversation. The specific approach Pedro describes, framing metrics as process improvement tools and creating a feedback loop where teams can challenge the data logic, is a model that applies well beyond healthcare and beyond PE-backed companies. Any organization introducing performance visibility to teams that have not had it before faces the same dynamic, and this episode offers a tested approach for navigating it.
And the ROI discussion is worth hearing for any leader who has been asked to justify a BI investment in terms that do not fully capture what the investment actually produces. Pedro’s articulation of organizational health as a legitimate and meaningful outcome, separate from a specific dollar return, is a more honest and ultimately more persuasive account of value than a fabricated number would be.
