Analytics and reporting for mid-sized pharmaceutical companies
Clarity across clinical, manufacturing and commercial metrics
Klipfolio connects data from trial systems, plants, partners and field teams so enrolment, batch yield, deviation closure and territory performance are defined once, and every function reviews the same numbers.
Who it's for
Mid-sized and specialty pharmaceutical, biotech and generics companies running trials, manufacturing and commercial operations, directly or through CROs and CMOs, where each function reports from its own systems. Already have an enterprise data platform? Klipfolio can connect to it and give individual sites and functions their own views.
Industries
- Specialty pharma
- Generics
- Biotech
- Contract development and manufacturing
Roles
- VP Clinical Operations
- Head of Quality
- Site Director
- Supply Chain Director
- Commercial Operations Lead
- CFO
Company size
- 200 to 5,000 employees
Mid-sized pharma runs on data from trial sites, plants, partners and field teams. Clinical operations works in EDC and CRO reports, quality in LIMS and the QMS, manufacturing in MES and ERP, and commercial in CRM and distributor feeds. Each function has its own systems, its own refresh schedule and its own definition of the numbers it reports.
Siloed systems, inconsistent definitions and manual reporting slow the calls that matter most. Reviews start with reconciling batch yield or enrolment figures rather than deciding what to do about them. A stock-out risk visible in supply chain data reaches commercial late. Audit preparation means rebuilding how a number was calculated months ago.
When metric definitions are set once and shared across clinical, quality, manufacturing, supply chain and commercial teams, reviews get faster and disputes over numbers fade. Teams build dashboards from curated, reusable metrics rather than one-off queries, and leadership gets a common picture of what is working and what needs attention.
Key jobs and use cases
Clinical trial operations
Who: Owned by the VP Clinical Operations. Used by study managers, CRO oversight and leadership.
Data: EDC, CTMS, CRO reports and site data.
Decision: Which sites need support or replacement, and whether enrolment will meet the timeline.
Key metrics
- Site activation time
- Enrolment rate against plan
- Screen failure rate
- Protocol deviations
- Adverse event trends
Manufacturing and batch performance
Who: Owned by the site director. Used by production, quality and supply chain.
Data: MES, LIMS, ERP and batch records.
Decision: Where to focus process improvement, and which lots are at risk of delayed release.
Key metrics
- Batch yield
- Right-first-time rate
- Lot release cycle time
- Overall equipment effectiveness (OEE)
- Scrap and rework
Quality events and CAPA
Who: Owned by the head of quality. Used by site leadership and regulatory affairs.
Data: Quality management system, LIMS, deviation and CAPA records.
Decision: Which deviations and CAPAs need escalation, and where recurring issues point to a systemic cause.
Key metrics
- Open deviations and ageing
- Deviation closure time
- CAPA on-time closure
- Out-of-specification results
- Audit observations
Supply chain continuity
Who: Owned by the supply chain director. Used by manufacturing, commercial and finance.
Data: ERP, supplier portals, cold chain monitoring and distributor reports.
Decision: Which suppliers, materials or markets to act on before a shortage reaches patients.
Key metrics
- Supplier lead time
- API availability
- On-time in-full
- Cold chain excursions
- Backorders
Commercial performance
Who: Owned by commercial operations. Used by sales leadership, market access and finance.
Data: CRM such as Salesforce, sales and distributor data, and gross-to-net calculations.
Decision: Where to redeploy field effort, and how channel inventory and pricing are affecting net revenue.
Key metrics
- Sales against forecast by territory
- Gross-to-net
- Channel inventory
- Forecast accuracy
- Field activity
Integrations
Pharma questions cross the value chain. A batch yield problem affects supply, which affects commercial forecasts and, eventually, revenue.
| Clinical | Quality and lab | Manufacturing and supply | Commercial | Data platforms |
|---|---|---|---|---|
| EDC, CTMS, CRO data extracts | LIMS, quality management systems | MES, ERP, supplier portals, cold chain monitoring | Salesforce, distributor and wholesaler data feeds | Snowflake, Amazon Redshift, MSSQL, Excel |
Many of these systems report through a data warehouse, a database connection or a scheduled extract, and Klipfolio reads from each of them.
Why Klipfolio
Shared definitions across functions
Define batch yield, right-first-time, enrolment rate and deviation closure time once with Excel-like formulas, and reuse them in every function's dashboards.
Access by design
Users, groups and roles protect sensitive clinical and financial metrics, so each team sees what it needs and no more.
Refresh matched to each system
Refresh plant and supply data as often as every few minutes and clinical or commercial data on a daily schedule, matched to how each source system works.
Distribution without IT tickets
Share published views, TV dashboards, scheduled emails and exports with the people who need them.