Life-sciences analytics
Commercial analytics for top-tier pharma
Shipped for A life-sciences commercial-analytics firm serving three top-10 pharmaceutical companies · led by Arpit Jhamb
01
The problem
Sales targeting, incentive compensation, and territory design needed to be quantified, fair, and fast, not set by intuition.
02
The constraint
Targeting, incentives, and territories had to be quantified and fair, defensible by model rather than set by intuition.
03
The system
Marketing Mix Modeling (multivariate regression) to quantify channel contribution, K-means territory alignment with a fairness pass, sales-tracking dashboards, and automated reporting.
FIG. 01 · SYSTEM FLOW · 5 NODES · 5 FLOWS
04
The human in the loop
Territory alignment clears a documented fairness review before it is adopted; the model proposes the split, a person signs off on fairness.
05
The outcome
A 10x reporting-efficiency improvement, with channel spend and territories set by model and a documented fairness check.