Commercial
Master Data
Management
Peraison helped AbbVie create faster, more comparable affiliate performance reporting by introducing a single reporting standard for products and accounts that the business could own and sustain.
Local variations in definitions were slowing reporting and driving unnecessary reconciliation, with teams spending time debating numbers instead of acting on opportunities.
Peraison implemented a business-led master data approach built around three commercial outcomes: comparability, speed, and sustained accuracy. This included an agreed reporting master, clear rules linking local records to shared definitions, and an exception-led operating model that automatically passes aligned records and routes only new or unmatched items to accountable data owners for controlled updates.
The result was reporting-ready outputs that remain consistent over time, protect decision-making from data drift, and support downstream analytics and planning without being tied to any specific technology stack.
Comparable performance reporting across affiliates
A single reporting standard for products and accounts improved regional comparability and reduced time lost reconciling local variations in definitions.
Faster time to insight through exception-led stewardship
Exception-led operations reduced effort by surfacing only new or unmatched records for resolution, accelerating reporting readiness and keeping mappings current as products and accounts changed.
Sustained accuracy that prevents data drift and supports planning
A closed-loop update cycle ensured resolved exceptions did not recur, improving coverage over time and producing reporting-ready outputs that can support downstream analytics and scenario or revenue modelling.
Modern Data Solutions for
pharmaceuticals & Biotech
Accelerating Pharma & Biotech With Data & AI
Bring together research and laboratory data with scientific knowledge to prioritise targets and make faster go or no-go decisions. Enable teams to compare results across studies, reduce duplication, and collaborate with confidence, cutting time spent reconciling inputs and accelerating progression from discovery to development.
Improve trial feasibility, site selection, enrolment, and delivery by combining operational data from start-up, monitoring, and site performance. Link clinical, patient-reported, imaging, and real-world data to strengthen evidence, shorten timelines from first patient in to database lock, and improve decision-making.
Use patient, investigator, and site data to improve recruitment, retention, and diversity outcomes. Identify drop-off points, optimise outreach and communications, and prioritise sites that deliver. Provide clear performance views that help clinical teams intervene early and keep studies on track across regions.
Strengthen data governance, traceability, and audit readiness across GxP processes with controlled datasets and clear lineage. Improve inspection readiness, reduce remediation effort, and support submission-ready reporting by embedding quality checks, validation-aligned controls, and consistent definitions across clinical, safety, quality, and manufacturing data.
Accelerate case processing and strengthen safety monitoring with better data quality, automation, and analytics across pharmacovigilance workflows. Integrate safety, clinical, and medical data to support faster triage, earlier detection of emerging issues, and more consistent reporting, while reducing manual effort and operational backlog
Improve batch visibility, quality performance, and supply reliability by connecting CMC, manufacturing, and logistics data end to end. Identify drivers of deviations, yield loss, and downtime, strengthen release readiness, and support planning decisions that protect service levels and reduce cost across sites and partners.
Build modern data foundations that make life sciences data trusted, governed, and ready for scale. Accelerate cloud and platform modernisation, improve data quality and lineage, and enable reusable data products that support analytics, automation, and AI use cases across R&D, clinical, safety, quality, and manufacturing.
Our Pharmaceuticals & Biotech stories & insights
Explore the real‑world impact of our work across pharmaceuticals and biotech, with stories and insights showing how data, AI, and technology deliver measurable outcomes.
Curious how we can improve your business's performance?
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