What We Do
We help companies build reliable data systems, create reports their teams actually use, and answer the hard questions that drive strategy. Most of our clients are in pharma or financial services, but the approach works anywhere data matters and decisions have real stakes.
How do we approach Advanced Analytics?
Advanced analytics doesn’t start with machine learning. It starts with getting the foundations right. Our framework is built on three layers, each one supporting the next. You can engage us at any level, but the real power comes when all three work together.
The Foundation
Data Infrastructure
The part nobody sees and everything depends on.
Think of this as the supply chain for your data. Raw information comes in from dozens of sources: patient-level data, CRM records, retail feeds, targeting files. We organize it, apply your business rules, and store it so it’s clean, governed, and ready to use.
What this looks like in practice
- Compliant integrations to send and receive data across systems
- Unified entity and transaction data (patients, HCPs, claims, prescriptions)
- Core business logic built upstream: eligibility rules, goal structures, segmentation flags
- Version control, audit readiness, and security baked in from day one
Day-to-Day Operations
Reporting Ecosystem
Turning data into decisions.
Once the data foundation is solid, we build the reports your teams rely on every morning. Dashboards for leadership, performance trackers for the field, compensation monitors for ops. Each one is purpose-built for a specific audience and use case, not a generic template we slap a logo on.
What this looks like in practice
- Power BI dashboards (territory performance, executive summaries, market access monitoring)
- Excel tools and workbooks (sales pulse reports, case coordination trackers)
- Role-specific access: field reps see what they need, leadership sees the big picture
- Ongoing refinement based on how your team actually uses the reports
Strategic Insight
Advanced Analytics Projects
The questions your standing reports can’t answer.
These are the questions that don’t have a standing report. Which patients are dropping off treatment and why? What does the path to prescription actually look like? How should we forecast volume for the next two quarters? We design, build, and deliver analysis projects that directly inform decisions at the executive level.
What this looks like in practice
- Path-to-prescription analysis (stitching together all touchpoints)
- Forecasting models (regressions, refill curves, scenario planning)
- Patient segmentation and cohort analysis
- Market research: primary (surveys, interviews) and secondary (claims data, competitive monitoring)
Evaluation Framework
Every project starts with four questions to ensure we deliver real value, not just analysis for the sake of it:
- Business Decision
What business decision will this analysis support?
- Data & Methods
What data and analytical methods do we need?
- Audience & Format
Who’s the audience and what format do they want?
- Scope & Timeline
How complex is it and how long will it take?
Go-to-Market & Commercial Services
Beyond the dashboard
The analysis we build doesn’t stop at reports. It informs how our clients go to market, structure their sales teams, and make commercial decisions. Analytics are incorporated across all of these services, or engaged as a standalone.
Not sure where to start? That's normal.
Most of our clients come to us knowing they have a data problem but not exactly what to do about it. That's fine. We'll figure it out together, starting with a conversation about where you are and where you want to be.