Pharma Commercial Analytics Consulting
Pharma commercial analytics built on CRM, prescription, specialty pharmacy and payer data: clean HCP masters, automated weekly reporting and brand dashboards.
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Commercial analytics that brand, field and access teams all trust
Pharma commercial analytics is the work of turning CRM activity, prescription and sales data, specialty pharmacy feeds and payer data into answers a brand team can act on: which prescribers are writing, which territories are behind, where patients drop off and whether the launch is on plan.
In most companies the analysis is not the hard part. The hard part is that each source arrives in its own format, prescriber identifiers do not match across them, and the weekly report is rebuilt by hand in Excel before anyone can look at it. By the time it is ready, the numbers disagree between brand, sales operations and market access.
Greenwolf builds the layer underneath: a commercial data model, clean HCP and HCO masters, automated pipelines and dashboards that every team reads the same way. Our founder came up through pharma commercial operations consulting at ZS, so we start from the questions your brand team already asks. This page covers the service; if you want the metrics themselves, read the commercial analytics KPIs brand teams track. For our wider pharma practice, see specialty pharma analytics and automation.
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What commercial analytics covers, by team
Brand teams
Demand, share and new patient starts by product, segment and region, with a clear read on what changed and why.
- New to brand and total prescriptions
- Launch uptake against forecast
- Segment and specialty performance
Sales operations
Territory performance, call activity and targeting that the field and head office measure the same way.
- Territory and region scorecards
- Call plan attainment and reach
- Target list quality and coverage
Market access
How coverage and payer decisions show up in pull-through, approvals and patients reaching therapy.
- Formulary status by account and plan
- Pull-through by payer and territory
- Approval and rejection trends
Commercial leadership
One weekly view of the business, built from the same numbers the teams below it use.
- Executive summary that refreshes itself
- Variance to plan with drill-down
- Consistent definitions across brands
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The data we work with
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What we build
Commercial data model and HCP/HCO MDM
One master for prescribers, accounts and their affiliations, linked across CRM, prescription, SP and claims sources so a prescriber is the same record everywhere.
- Identifier matching and survivorship rules
- Product, payer and territory hierarchies
- Validation before anything reports
Automated weekly reporting
Pipelines that load each data delivery, check it and refresh reporting without the Monday rebuild.
- Scheduled loads for every source
- Checks for late or incomplete files
- Restatement handled, not ignored
Brand and territory dashboards
Dashboards in Power BI, Tableau or your existing BI tool, with KPIs defined once and shared by brand, field and leadership.
- National to territory drill-down
- Row-level security by role
- Field-friendly mobile views
Launch tracking
A launch view that brings early prescribing, SP referrals, access and field activity together from week one.
- Early adopter and first-prescriber tracking
- Referral to first fill at launch
- Weekly read against launch plan
Field force effectiveness
Whether calls reach the right prescribers at the right frequency, and what changes after they do.
- Reach and frequency against plan
- Call activity linked to prescribing
- Territory alignment and workload balance
AI for targeting and next best action
Models that rank prescribers and suggest the next action for a rep, built on your own CRM and prescription history and reviewed with the brand team before they reach the field.
- Prescriber segmentation and scoring
- Next best action suggestions in CRM
- Measured against a holdout, not assumed
05
Case snapshot: from manual reporting to a stable system
A specialty therapy provider was rebuilding its patient access reporting by hand each cycle, and identifiers did not match between sources.
What we built: clean identifiers and an MDM structure, automated case pipelines, standardised reporting and dashboards.
Outcome: 60 to 80 percent less manual work and reporting that stayed stable. The same foundations (clean masters, automated loads, one set of definitions) are what commercial analytics needs.
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How an engagement runs
Assess
We list the reports your teams rebuild, the data sources behind them and the KPI definitions that disagree.
Model and master
We design the commercial data model and build the HCP and HCO masters that link every source.
Automate
Each data delivery gets a pipeline with checks, so reporting refreshes on schedule and flags problems instead of hiding them.
Report
Brand, territory and leadership dashboards go live, reconciled against your current numbers before the old reports are retired.
Extend and support
Launch tracking, field force effectiveness and AI models are added on the same foundation, and we stay on as sources and territories change.
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How we handle commercial and patient data
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Pharma commercial analytics questions
What is pharma commercial analytics?
What data does pharmaceutical commercial analytics use?
Which KPIs should a pharma brand team track?
Do we need to replace our CRM, warehouse or BI tool?
How long until the first dashboards are live?
Where is your team, and how do you work with US and European clients?
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Related pharma work
Commercial analytics often depends on patient-level data from specialty pharmacies and hubs. See specialty pharmacy data analytics for how we ingest and link those feeds, and AI for Veeva CRM analytics and next best action for more on targeting models.
Tell us which commercial report your team rebuilds every week
Describe the sources behind it and who reads it. We will come back with what automating it takes and where the data model needs work first.
A reply from a consultant, usually within one working day.
Part of our Pharma Commercial and Patient Analytics hub. Start with our specialty pharmacy analytics.
Pharma Commercial and Patient Analytics
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Get started
Tell us where the week goes
Two weeks, fixed scope, a costed plan at the end. No obligation after it.
- We map your workflows and where the time actually goes
- You get the three that cost the most, with what automating them takes
- Delivered as a document, in 5 to 7 working days
Tell us where the week goes
A senior consultant will map where the time goes, name what is worth automating and what it takes. No obligation after it.