Client-verified outcome
20%
Increase in sales
A regional medical laboratory combined operational, billing, claims and sales data with external market intelligence into one view of service opportunity, used directly for sales targeting.
Life Sciences & Healthcare
Data, analytics & AI for complex healthcare decisions.
SMPLCTY has worked across innovation portfolios, commercial analytics, healthcare operations, behavioral health, medical laboratories, enterprise measurement, and customer engagement.
We help healthcare and life-sciences leaders connect fragmented information to decisions involving growth, operations, resources, customers, and performance.
Evidence is abundant. Decision confidence is not.
Results in practice
Selected evidence from this sector.
Figures are published only as approved by the client. Work without a verified figure is described as delivered work.
Delivered in production
80%
Faster portfolio time-to-action
Portfolio data, prioritization logic and recommended actions brought into one governed decision system, cutting the time between question and decision.
Delivered in production
30%
Reduction in executive analysis time
Leadership review moved from assembling and reconciling analysis to reviewing prepared options within the same system.
Modeled
5–10%
Improvement in innovation pipeline value
Portfolio governance and analytical prioritization replaced case-by-case negotiation across the innovation pipeline.
Modeled improvement based on the client's own pipeline valuation method.
Context we understand
Evidence is abundant. Decision confidence is not.
Commercial and medical teams work with third-party, claims, CRM, patient services and field data that rarely reconcile, under privacy and promotional-compliance requirements that shape what can be used and how. The constraint is rarely analytical capability — it is turning contested evidence into decisions that hold up under review.
- Privacy, consent and permitted-use requirements govern what data can inform which decision.
- Promotional and medical governance shapes how analytical output can be applied.
- Third-party data licensing constrains integration and retention.
- Validation and documentation expectations apply to models used in regulated contexts.
Decisions we improve
Where the work concentrates.
Every engagement starts from a decision that has to be made better, not from a platform.
- Field and territory deployment
- Where to place field effort given account potential, access constraints and coverage economics, reviewed on a defensible cadence.
- Brand and portfolio investment
- Allocation across brands, channels and programs with response evidence and constraints made explicit.
- Patient and provider journey decisions
- Identifying where support, education or service intervention changes outcomes, within permitted data use.
- Launch and performance readiness
- Measurement architecture and leading indicators established before launch rather than reconstructed after it.
- Operational and supply decisions
- Forecasting and exception management across supply, service and operational processes.
Capabilities applied
What we bring to this sector.
- Commercial and field analytics
- Innovation portfolio prioritization
- Measurement and metric engineering
- Data integration across internal and third-party sources
- Predictive analytics and optimization
- Executive decision products
Relevant solutions
Where analytics and AI pay off here.
Solution 01Revenue & Commercial IntelligenceConnected commercial evidence — pipeline, customer, pricing and field activity — turned into decisions about where to put effort next.Solution 03Portfolio & Resource OptimizationStructured allocation across portfolios, programs, capacity and field resources — with scenarios leaders can interrogate and defend.Solution 02Marketing Performance & MeasurementMeasurement that survives executive scrutiny, and allocation decisions that follow from it rather than from channel advocacy.Solution 04Operational Intelligence & AutomationException-driven operational decisions: detect the condition, route it to an owner, and automate the analytical work around it.
Client outcomes
Case studies from this sector.
Each case is set out the same way: the decision at stake, the system built, and the outcome.
Case 01How a Global Consumer Health Company Cut Portfolio Time-to-Action by 80%Portfolio data, prioritization logic and recommended actions brought into one governed decision system, cutting the time between question and decision.Case 02Improving Innovation Portfolio Value Through Data-Driven Prioritization and Resource AllocationPortfolio governance and analytical prioritization replaced case-by-case negotiation, increasing the value of the innovation pipeline.Case 03How a Regional Medical Laboratory Increased Sales by 20% Using Internal and External DataOperational, billing, claims and sales data combined with external market intelligence into one view of service opportunity, used directly for sales targeting.Case 04Cutting Product Launch Time by 50% Through Portfolio and Resource OptimizationSequencing and resource allocation modeled against real capacity constraints, halving the time from decision to launch.
Start with the healthcare decision you need to get right.
We will frame the decision, map the evidence it requires under your governance constraints, and set out what it would take to build the system behind it.