Client-verified outcome
20% increase in sales
Regional Medical Laboratory. Operational, billing, claims and sales data combined with external CMS intelligence into a single view of service opportunity, used directly for sales targeting.
Solution 01
Know where revenue is won, lost, and left unclaimed.
Connected commercial evidence — pipeline, customer, pricing and field activity — turned into decisions about where to put effort next.
Where is revenue actually being won, lost and left on the table?
Results in practice
What this work has produced.
Figures are published only where the client has verified them. Everything else is described as delivered work.
Business questions
The questions this solution is built to answer.
- Which accounts, segments or territories deserve the next increment of effort?
- Which pipeline movement is real signal, and which is stage hygiene?
- Where is pricing, discounting or mix eroding realized revenue?
- Which commercial actions actually preceded retention or expansion?
Use cases & capabilities
What we build here.
Scoped to the decisions the business has prioritized, then delivered in short increments.
- Account, segment and territory prioritization
- Opportunity and propensity scoring
- Pipeline quality and conversion diagnostics
- Pricing, discount and mix analysis
- Commercial performance reporting on governed definitions
- Commercial decision map
- Identify the recurring revenue decisions, their owners and their cadence — from weekly pipeline review to annual territory design.
- Connected commercial model
- Unify CRM, order, pricing, product usage and activity data into governed definitions of pipeline, coverage, conversion and realized revenue.
- Prioritization intelligence
- Propensity, coverage and opportunity models that rank where effort earns the most, with thresholds agreed with commercial leadership.
- Decision product
- A commercial decision interface used inside the existing review rhythm, showing the evidence, the recommendation and the action.
How it comes together
The evidence base and the services behind it.
Data this typically requires
- CRM opportunity and account history with reliable stage and close-date records
- Order, invoice or claims data for realized revenue and mix
- Pricing, discount and contract terms where relevant
- Field or channel activity data at a level that supports attribution
Services applied
Service 02Decision Intelligence SystemsDecision products, not dashboards: the evidence, thresholds, ownership and workflow that make a recurring decision reliable.Service 03Advanced Analytics & AIForecasting, optimization, predictive models, and applied AI deployed where they measurably shorten the distance to a decision.Service 01Data, Analytics & AI StrategyA strategy anchored to the decisions that move performance — what to measure, what to build, in what order, and what it is worth.
Industries
Where this comes up most.
Industry 01
Life Sciences & Healthcare
Commercial, medical and operational decisions made under regulatory constraint, fragmented data and long feedback cycles.
Industry 02Consumer & Commercial
Established companies with real scale, lean analytics teams, and executive decisions that outpace the evidence available to support them.
Where is commercial effort going without evidence?
Bring us the revenue decision under pressure. We will map the evidence it needs and what it would take to build it.