Market Access Data Platform for Life Sciences GTM
Commercialisation Consultancy for Life Sciences Co
**Context** The organization aids pharmaceutical companies in navigating market access and commercialization in the US. Their operations rely on synthesizing data from patients, healthcare providers, payers, formularies, and sales into a unified perspective that informs critical, regulated go-to-market decisions. **Ongoing Platform Ownership** Since 2020, Infopoly has collaborated with the organization on various implementations, continuously enhancing their market access and commercial data capabilities. This partnership involves multiple client deliverables rather than being a one-time project. **Data Sourcing & Integration** The platform consolidates industry data sets that encompass US patients, doctors, hospitals, insurers, and decisions on coverage. This involves hands-on engagement with sources like MMIT, Symphony, Definitive, H1, ZS, and affiliation datasets, providing practical knowledge of their structures, update processes, and integration challenges. Differences between US and EU/UK data frameworks are considered where applicable. **Why Off-the-Shelf Didn't Work** Packaged analytics tools and general data models struggled to manage the complex structure of market access effectively. Key failure points included inadequate mastering of healthcare provider to healthcare organization relationships, unstable payer and controller hierarchies, and convoluted transformations that were challenging to justify. **What Was Built** A regulated market access data platform designed to integrate, model, and prepare data for strategic decision-making. This platform merges data ingestion and transformation processes with analytical and reporting components, including visualization for decision support. Integration with CRM systems such as Veeva and Salesforce occurs alongside market access, claims, coverage, and sales data, incorporating traceability and clarity. More recently, the collaboration has broadened to include consultancy-led initiatives and the creation of data-intensive internal interfaces for the organization’s end users.